Publications of Peter Szolovits

Papers of Peter Szolovits

  1. Justin K Yu, Jayson S Marwaha, Chris J Kennedy, Kortney A Robinson, Aaron Fleishman, Brendin R Beaulieu-Jones, Josh Bleicher, Lyen C Huang, Peter Szolovits, Gabriel A Brat. Who doesn't fit? A multi-institutional study using machine learning to uncover the limits of opioid prescribing guidelines. Surgery Jun 2022.
  2. Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits. Explainable deep learning in healthcare: A methodological survey from an attribution view. WIREs Mech Dis e1548, Feb 2022.
  3. Harrison G Zhang, Boris P Hejblum, Griffin M Weber, Susanne E Churchill, Peter Szolovits, Shawn N Murphy, Isaac S Kohane, Tianxi Cai. ATLAS: An Automated Association Test Using Probabilistically Linked Health Records with Application to Genetic Studies. J Am Med Inform Assoc 28 (12) 2582--2592, Dec 2021.
  4. Tzu-Ming Harry Hsu, Khoschy Schawkat, Seth J Berkowitz, Jesse L Wei, Alina Makoyeva, Kaila Legare, Corinne DeCicco, S Nicolas Paez, Jim S H Wu, Peter Szolovits, Ron Kikinis, Arthur J Moser, Alexander Goehler. Artificial intelligence to assess body composition on routine abdominal CT scans and predict mortality in pancreatic cancer: A recipe for your local application. Eur J Radiol 142 109834, Oct 2021.
  5. Alexander Goehler, Tzu-Ming Harry Hsu, Jacqueline A Seiglie, Mark J Siedner, Janet Lo, Virginia Triant, John Hsu, Andrea Foulkes, Ingrid Bassett, Ramin Khorasani, Deborah J Wexler, Peter Szolovits, James B Meigs, Jennifer Manne-Goehler. Visceral Adiposity and Severe COVID-19 Disease: Application of an Artificial Intelligence Algorithm to Improve Clinical Risk Prediction. Open Forum Infect Dis 8 (7) ofab275, Aug 2021.
  6. Matthew McDermott, Bret Nestor, Evan Kim amd Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi. A comprehensive EHR timeseries pre-training benchmark. CHIL '21: Proceedings of the Conference on Health, Inference, and Learning, pp 257--278. 2021.
  7. William Boag, Olga Kovaleva, Thomas H McCoy, Anna Rumshisky, Peter Szolovits, Roy H Perlis. Hard for humans, hard for machines: predicting readmission after psychiatric hospitalization using narrative notes. Translational Psychiatry 11 (1) 32, Feb 2021.
  8. Joao Palotti, Ignacio Perez-Pozuelo, Abdulaziz Al Homaid, Raghvendra Mall, Marius Posa, Heather Berlin, Di Jin, Faisal Farooq, Peter Szolovits. Predicting Several Sleep Quality Metrics Based on Same Day Physical Activity. {{ICLR-AI4PH}}, pp 9. 2021.
  9. Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert Miller, Andrew Williams, Daniel Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-el-rub, Rui Zhang, John D Osborne, Masoud Rouhizadeh, Yongqun He, Emily Pfaff, Christopher G Chute, Tim Duong, Melissa A Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu. An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C). arXiv preprint arXiv:2210.10780 2021.
  10. Matthew B A McDermott, Brendan Yap, Peter Szolovits, Marinka Zitnik. Rethinking Relational Encoding in Language Model: Pre-Training for General Sequences. CoRR abs/2103.103342021.
  11. Matthew B A McDermott, Brendan Yap, Tzu{-}Ming Harry Hsu, Di Jin, Peter Szolovits. Adversarial Contrastive Pre-training for Protein Sequences. CoRR abs/2102.004662021.
  12. Preethi Raghavan, Diwakar Mahajan, Jennifer J Liang, Rachita Chandra, Peter Szolovits. emrKBQA: Towards Creating a Clinical Knowledge-Base Question Answering Dataset. Proceedings of the BioNLP 2021 workshop, NAACL. 2021.
  13. A Goehler, Harry Tzu-Ming Hsu, Ronlida Lacson, Isha Gujrathi, Raein Hashemi, Grzegorz Chlebus, Peter Szolovits, Ramin Khorasani. Three-Dimensional Neural Network to Automatically Assess Liver Tumor Burden Change on Consecutive Liver MRIs. J Am Coll Radiol 17 (11) 1475--1484, Dec 2020.
  14. So Yeon Min, Preethi Raghavan, Peter Szolovits. Advancing Seq2seq with Joint Paraphrase Learning. Proceedings of the 3rd Clinical Natural Language Processing Workshop, pp 269--279. Association for Computational Linguistics, Online. 2020.
  15. Yuan Luo, Alal Eran, Nathan Palmer, Paul Avillach, Ami Levy-Moonshine, Peter Szolovits, Isaac S Kohane. A multidimensional precision medicine approach identifies an autism subtype characterized by dyslipidemia. Nature Medicine Sep 2020.
  16. Di Jin, Peter Szolovits. Advancing PICO Element Detection in Biomedical Text via Deep Neural Networks. Bioinformatics May 2020.
  17. Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits. A Simple Baseline to Semi-Supervised Domain Adaptation for Machine Translation.
  18. Di Jin, Eileen Pan, Nassim Oufattole, Wei{-}Hung Weng, Hanyi Fang, Peter Szolovits. What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams. CoRR abs/2009.130812020.
  19. Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits. Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation. CoRR abs/2001.081402020.
  20. So Yeon Min, Preethi Raghavan, Peter Szolovits. TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces. Automated Knowledge Base Construction. 2020.
  21. Geeticka Chauhan, Ruizhi Liao, William Wells, Jacob Andreas, Xin Wang, Seth J Berkowitz, Steven Horng, Peter Szolovits, Polina Golland. Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. Anne L Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A Zuluaga, S Kevin Zhou, Daniel Racoceanu, Leo Joskowicz, Eds. Medical Image Computing and Computer Assisted Intervention - {MICCAI} 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part {II}, pp 529--539. Volume 12262 of Lecture Notes in Computer Science. Springer. 2020.
  22. Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits. Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment. The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI} 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, {IAAI} 2020, The Tenth {AAAI} Symposium on Educational Advances in Artificial Intelligence, {EAAI} 2020, New York, NY, USA, February 7-12, 2020, pp 8018--8025. {AAAI} Press. 2020.
  23. Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits. Hooks in the Headline: Learning to Generate Headlines with Controlled Styles. Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel R Tetreault, Eds. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, {ACL} 2020, Online, July 5-10, 2020, pp 5082--5093. Association for Computational Linguistics. 2020.
  24. Bhanu Pratap Singh Rawat, Wei{-}Hung Weng, So Yeon Min, Preethi Raghavan, Peter Szolovits. Entity-Enriched Neural Models for Clinical Question Answering. Dina Demner{-}Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, Junichi Tsujii, Eds. Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, BioNLP 2020, Online, July 9, 2020, pp 112--122. Association for Computational Linguistics. 2020.
  25. Matthew B A McDermott, Tzu{-}Ming Harry Hsu, Wei{-}Hung Weng, Marzyeh Ghassemi, Peter Szolovits. CheXpert++: Approximating the CheXpert labeler for Speed, Differentiability, and Probabilistic Output. CoRR abs/2006.152292020.
  26. Matthew B A McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi. A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data. CoRR abs/2007.101852020.
  27. Aaron W Sonabend, Junwei Lu, Leo A Celi, Tixanxi Cai, Peter Szolovits. Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. 33rd Conference on Neural Information Processing Systems. 2020.
  28. William Boag, Tzu-Ming Harry Hsu, Matthew McDermott, Gabriela Berner, Emily Alsentzer, Peter Szolovits. Baselines for Chest X-Ray Report Generation. Proceedings of Machine Learning Research, pp 126--140. Volume 116 of Machine Learning for Health (ML4H) at NeurIPS 2019. 2020.
  29. Yichi Zhang, Tianrun Cai, Sheng Yu, Kelly Cho, Chuan Hong, Jiehuan Sun, Jie Huang, Yuk-Lam Ho, Ashwin N Ananthakrishnan, Zongqi Xia, Stanley Y Shaw, Vivian Gainer, Victor Castro, Nicholas Link, Jacqueline Honerlaw, Sicong Huang, David Gagnon, Elizabeth W Karlson, Robert M Plenge, Peter Szolovits, Guergana Savova, Susanne Churchill, Christopher O'Donnell, Shawn N Murphy, J Michael Gaziano, Isaac Kohane, Tianxi Cai, Katherine P Liao. High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP). Nat Protoc 14 (12) 3426--3444, jan 2019.
  30. Katherine P Liao, Jiehuan Sun, Tianrun A Cai, Nicholas Link, Chuan Hong, Jie Huang, Jennifer E Huffman, Jessica Gronsbell, Yichi Zhang, Yuk-Lam Ho, Victor Castro, Vivian Gainer, Shawn N Murphy, Christopher J O'Donnell, J Michael Gaziano, Kelly Cho, Peter Szolovits, Isaac S Kohane, Sheng Yu, Tianxi Cai. High-throughput multimodal automated phenotyping (MAP) with application to PheWAS. J Am Med Inform Assoc 26 (11) 1255--1262, Dec 2019.
  31. Geeticka Chauhan, Matthew McDermott, Peter Szolovits. A Framework for Relation Extraction Across Multiple Datasets in Multiple Domains. Proceedings of the 2019 Workshop on Widening NLP, pp 18--20. Association for Computational Linguistics, Florence, Italy. 2019.
  32. Mengxin Sun, Jason Baron, An Dighe, Peter Szolovits, Richard G Wunderink, Tamara Isakova, Yuan Luo. Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes and Structured Multivariate Physiological Measurements. Stud Health Technol Inform 264 368--372, Sep 2019.
  33. Wei-Hung Weng, Yu-An Chung, Peter Szolovits. Unsupervised Clinical Language Translation. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining. ACM. 2019.
  34. Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi. Clinically Accurate Chest X-Ray Report Generation. arXiv May 2019.
  35. Matthew McDermott, Jennifer Wang, Wen Ning Zhao, Steven D Sheridan, Peter Szolovits, Isaac Kohane, Stephen J Haggarty, Roy H Perlis. Deep Learning Benchmarks on L1000 Gene Expression Data. IEEE/ACM Trans Comput Biol Bioinform May 2019.
  36. Ronilda C Lacson, Bowen Baker, Harini Suresh, Katherine Andriole, Peter Szolovits, Eduardo Lacson, Jr. Use of machine-learning algorithms to determine features of systolic blood pressure variability that predict poor outcomes in hypertensive patients. Clin Kidney J 12 (2) 206--212, May 2019.
  37. Peter Szolovits. AI for the M.D.: Review of Eric Topol, “Deep Medicine”. Science 363 (6434) 1402, Apr 2019.
  38. Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits. TextFool: Fool your Model with Natural Adversarial Text.
  39. Irene Y Chen, Peter Szolovits, Marzyeh Ghassemi. Can AI Help Reduce Disparities in General Medical and Mental Health Care?. AMA J Ethics 21 (2) E167--179, Mar 2019.
  40. Boris P Hejblum, Griffin M Weber, Katherine P Liao, Nathan P Palmer, Susanne Churchill, Nancy A Shadick, Peter Szolovits, Shawn N Murphy, Isaac S Kohane, Tianxi Cai. Probabilistic record linkage of de-identified research datasets with discrepancies using diagnosis codes. Sci Data 6 180298, Feb 2019.
  41. Soyeon Tiffany Min, Preethi Raghavan, Peter Szolovits. Advancing Sequence Models with Joint Paraphrase Learning. NeurIPS Workshop on Machine Learning for Health (ML4H). 2019.
  42. Weng Wei-Hung, Emily Alsentzer, Di Jin, So-Yeon Min, Preethi Raghavan, Peter Szolovits. Logical Form Information for Clinical Question Answering. DSHealth2019: KDD Workshop on Applied Data Science for Healthcare. 2019.
  43. Wei-Hung Weng, Peter Szolovits. Representation Learning for Electronic Health Records. CoRR abs/1909.092482019.
  44. Geeticka Chauhan, Matthew B A McDermott, Peter Szolovits. REflex: Flexible Framework for Relation Extraction in Multiple Domains. Dina Demner{-}Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, Junichi Tsujii, Eds. Proceedings of the 18th BioNLP Workshop and Shared Task, BioNLP@ACL 2019, Florence, Italy, August 1, 2019, pp 30--47. Association for Computational Linguistics. 2019.
  45. Elena Sergeeva, Henghui Zhu, Amir Tahmasebi, Peter Szolovits. Neural Token Representations and Negation and Speculation Scope Detection in Biomedical and General Domain Text. Eben Holderness, Antonio Jimeno{-}Yepes, Alberto Lavelli, Anne{-}Lyse Minard, James Pustejovsky, Fabio Rinaldi, Eds. Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, Hong Kong, November 3, 2019, pp 178--187. Association for Computational Linguistics. 2019.
  46. Trishan Panch, Peter Szolovits, Rifat Atun. Artificial intelligence, machine learning and health systems. J Glob Health 8 (2) 020303, jan 2018.
  47. Yuan Luo, Peter Szolovits, An Dighe, S, Jason M Baron. 3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data. J Am Med Inform Assoc 25 (6) 645--653, Jul 2018.
  48. Sheng Yu, Yumeng Ma, Jessica Gronsbell, Tianrun Cai, Ashwin N Ananthakrishnan, Vivian S Gainer, Susanne E Churchill, Peter Szolovits, Shawn N Murphy, Isaac S Kohane, Katherine P Liao, Tianxi Cai. Enabling phenotypic big data with PheNorm. J Am Med Inform Assoc 25 (1) 54--60, Feb 2018.
  49. Yuan Luo, Yu Cheng, Özlem Uzuner, Peter Szolovits, Justin Starren. Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes. J Am Med Inform Assoc 25 (1) 93--98, Feb 2018.
  50. Annamarie Bair, Matthew B A McDermott, Jennifer Wang, Wen-Ning Zhao, Steven D Sheridan, Peter Szolovits, Isaac Kohane, Stephen J Haggarty, Roy H Perlis. Improved Modeling and Analysis of Gene Expression [Abstract]. Women in Machine Learning (WIML). 2018.
  51. Ji Young Lee, Franck Dernoncourt, Peter Szolovits. Transfer Learning for Named-Entity Recognition with Neural Networks. Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, K{\^{o}}iti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, H{\'{e}}l{\`{e}}ne Mazo, Asunci{\'{o}}n Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga, Eds. Proceedings of the Eleventh International Conference on Language Resources and Evaluation, {LREC} 2018, Miyazaki, Japan, May 7-12, 2018. European Language Resources Association {(ELRA)}. 2018.
  52. Yuan Luo, Peter Szolovits. Implementing a Portable Clinical NLP System with a Common Data Model -- a Lisp Perspective. Huiru Jane Zheng, Zoraida Callejas, David Griol, Haiying Wang, Xiaohua Hu, Harald H H W Schmidt, Jan Baumbach, Julie Dickerson, Le Zhang, Eds. {IEEE} International Conference on Bioinformatics and Biomedicine, {BIBM} 2018, Madrid, Spain, December 3-6, 2018, pp 461--466. {IEEE} Computer Society. 2018.
  53. Katherine P Liao, Jiehuan Sun, Tianrun A Cai, Nicholas B Link, Chuan Hong, Jie Huang, Jennifer E Huffman, Jessica L Gronsbell, Lauren Costa, Victor M Castro, Vivian S Gainer, Shawn N Murphy, J Michael Gaziano, Kelly Cho, Peter Szolovits, Isaac S Kohane, Sheng Yu, Tianxi Cai. High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS. {AMIA} 2018, American Medical Informatics Association Annual Symposium, San Francisco, CA, November 3-7, 2018. {AMIA}. 2018.
  54. Di Jin, Peter Szolovits. Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts. Ellen Riloff, David Chiang, Julia Hockenmaier, Jun'ichi Tsujii, Eds. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, pp 3100--3109. Association for Computational Linguistics. 2018.
  55. Tzu-Ming Harry Hsu, Wei-Hung Weng, Willie Boag, Matthew McDermott, Peter Szolovits. Unsupervised Multimodal Representation Learning across Medical Images and Reports. NeurIPS Workshop on Machine Learning for Health (ML4H). 2018.
  56. Willie Boag, Tristan Naumann, Peter Szolovits. Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes. arXiv preprint arXiv:1803.02728 2018.
  57. Matthew BA McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, Marzyeh Ghassemi. Semi-supervised Biomedical Translation with Cycle Wasserstein Regression GANs. Proc. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), pp 2363--70. 2018.
  58. Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi. Racial Disparities and Mistrust in End-of-Life Care. Proceedings of Machine Learning in Healthcare 2017 stat.AP2018.
  59. Uma M Girkar, Ryo Uchimido, Li-wei H Lehman, Peter Szolovits, Leo A Celi, Wei-Hung Weng. Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability. Proceedings of Machine Learning in Healthcare 2017 cs.LG2018.
  60. Di Jin, Peter Szolovits. PICO Element Detection in Medical Text via Long Short-Term Memory Neural Networks. Proceedings of the BioNLP 2018 workshop, pp 67--75. 2018.
  61. Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi. Modeling Mistrust in End-of-Life Care. arXiv preprint arXiv:1807.00124 2018.
  62. Wei-Hung Weng, Peter Szolovits. Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment. KDD Workshop on Machine Learning for Medicine and Healthcare. 2018.
  63. Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha, Peter Szolovits, Anna Rumshisky, Tristan Naumann. CliNER 2.0: Accessible and Accurate Clinical Concept Extraction. arXiv preprint arXiv:1803.02245 2018.
  64. Di Jin, Peter Szolovits. Advancing PICO Element Detection in Medical Text via Deep Neural Networks. arXiv preprint arXiv:1810.12780 2018.
  65. Willie Boag, Dustin Doss, Tristan Naumann, Peter Szolovits. What's in a Note? Unpacking Predictive Value in Clinical Note Representations. AMIA Jt Summits Transl Sci Proc 2017 26--34, 2018.
  66. Wei-Hung Weng, Kavishwar B Wagholikar, Alexa T McCray, Peter Szolovits, Henry C Chueh. Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach. BMC Med Inform Decis Mak 17 (1) 155, jan 2017.
  67. Mark Hoogendoorn, Thomas Berger, Ava Schulz, Timo Stolz, Peter Szolovits. Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email Conversations. IEEE J Biomed Health Inform 21 (5) 1449--1459, Oct 2017.
  68. Ji Young Lee, Franck Dernoncourt, Peter Szolovits. MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks. Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017), pp 978--984. Association for Computational Linguistics, Vancouver, Canada. 2017.
  69. Mei-Sing Ong, Mary P Mullen, Eric D Austin, Peter Szolovits, Marc D Natter, Alon Geva, Tianxi Cai, Sek Won Kong, Kenneth D Mandl. Learning a Comorbidity-Driven Taxonomy of Pediatric Pulmonary Hypertension. Circ Res 121 (4) 341--353, Sep 2017.
  70. Yuan Luo, Özlem Uzuner, Peter Szolovits. Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations [Erratum]. Brief Bioinform 18 (4) 722, Aug 2017.
  71. Franck Dernoncourt, Ji Young Lee, Ozlem Uzuner, Peter Szolovits. De-identification of patient notes with recurrent neural networks. J Am Med Inform Assoc 24 (3) 596--606, Jun 2017.
  72. Mike Wu, Marzyeh Ghassemi, Mengling Feng, Leo A Celi, Peter Szolovits, Finale Doshi-Velez. Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database. J Am Med Inform Assoc 24 (3) 488--495, Jun 2017.
  73. Yuan Luo, Fei Wang, Peter Szolovits. Tensor factorization toward precision medicine. Brief Bioinform 18 (3) 511--514, Jun 2017.
  74. Sheng Yu, Abhishek Chakrabortty, Katherine P Liao, Tianrun Cai, Ashwin N Ananthakrishnan, Vivian S Gainer, Susanne E Churchill, Peter Szolovits, Shawn N Murphy, Isaac S Kohane, Tianxi Cai. Surrogate-assisted feature extraction for high-throughput phenotyping. J Am Med Inform Assoc 24 (e1) e143--e149, May 2017.
  75. Yuan Luo, Özlem Uzuner, Peter Szolovits. Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations. Brief Bioinform 18 (1) 160--178, Feb 2017.
  76. Franck Dernoncourt, Ji Young Lee, Peter Szolovits. Neural Networks for Joint Sentence Classification in Medical Paper Abstracts. Mirella Lapata, Phil Blunsom, Alexander Koller, Eds. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, {EACL} 2017, Valencia, Spain, April 3-7, 2017, Volume 2: Short Papers, pp 694--700. Association for Computational Linguistics. 2017.
  77. Harini Suresh, Peter Szolovits, Marzyeh Ghassemi. The use of autoencoders for discovering patient phenotypes. arXiv preprint arXiv:1703.07004 2017.
  78. Wei-Hung Weng, Mingwu Gao, Ze He, Susu Yan, Peter Szolovits. Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients. NIPS Workshop on Machine Learning for Health (ML4H). 2017.
  79. Jen J Gong, Tristan Naumann, Peter Szolovits, John V Guttag. Predicting Clinical Outcomes Across Changing Electronic Health Record Systems. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 1497--1505. 2017.
  80. Franck Dernoncourt, Ji Young Lee, Peter Szolovits. NeuroNER: an easy-to-use program for named-entity recognition based on neural networks. Conference on Empirical Methods on Natural Language Processing (EMNLP) 2017.
  81. Aniruddh Raghu, Matthieu Komorowski, Imran Ahmed, Leo Celi, Peter Szolovits, Marzyeh Ghassemi. Deep Reinforcement Learning for Sepsis Treatment. arXiv preprint arXiv:1711.09602 2017.
  82. Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi. Continuous state-space models for optimal sepsis treatment-a deep reinforcement learning approach. Proceedings of Machine Learning in Healthcare 2017.
  83. Harini Suresh, Nathan Hunt, Alistair Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi. Clinical Intervention Prediction and Understanding with Deep Neural Networks. Machine Learning for Healthcare Conference, pp 322--337. 2017.
  84. Marzyeh Ghassemi, Mike Wu, Michael C Hughes, Peter Szolovits, Finale Doshi-Velez. Predicting intervention onset in the ICU with switching state space models. AMIA Jt Summits Transl Sci Proc 2017 82--91, 2017.
  85. Ji Young Lee, Franck Dernoncourt, Özlem Uzuner, Peter Szolovits. Feature-Augmented Neural Networks for Patient Note De-identification. Proceedings of the Clinical Natural Language Processing Workshop at COLING. Osaka, Japan. 2016.
  86. A Rumshisky, M Ghassemi, T Naumann, P Szolovits, V M Castro, T H McCoy, R H Perlis. Predicting early psychiatric readmission with natural language processing of narrative discharge summaries. Transl Psychiatry 6 (10) e921, Nov 2016.
  87. Mark Hoogendoorn, Ali El Hassouni, Kwongyen Mok, Marzyeh Ghassemi, Peter Szolovits. Prediction using patient comparison vs. modeling: a case study for mortality prediction. Conf Proc IEEE Eng Med Biol Soc 2016 2464--2467, Sep 2016.
  88. Arjun K Manrai, Birgit H Funke, Heidi L Rehm, Morten S Olesen, Bradley A Maron, Peter Szolovits, David M Margulies, Joseph Loscalzo, Isaac S Kohane. Genetic Misdiagnoses and the Potential for Health Disparities. N Engl J Med 375 (7) 655--65, Sep 2016.
  89. Yuan Luo, Peter Szolovits, An Dighe, S, Jason M Baron. Using Machine Learning to Predict Laboratory Test Results. Am J Clin Pathol 145 (6) 778--88, Jul 2016.
  90. Alistair E W Johnson, Tom J Pollard, Lu Shen, Li-Wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, Roger G Mark. MIMIC-III, a freely accessible critical care database. Sci Data 3 160035, Jun 2016.
  91. Mark Hoogendoorn, Peter Szolovits, Leon M G Moons, Mattijs E Numans. Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer. Artif Intell Med 69 53--61, Jun 2016.
  92. Yuan Luo, Yu Xin, Rohit Joshi, Leo A Celi, Peter Szolovits. Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements. AAAI, pp 42--50. 2016.
  93. Yuan Luo, Peter Szolovits. Efficient Queries of Stand-off Annotations for Natural Language Processing on Electronic Medical Records. Biomed Inform Insights 8 29--38, 2016.
  94. Sheng Yu, Katherine P Liao, Stanley Y Shaw, Vivian S Gainer, Susanne E Churchill, Peter Szolovits, Shawn N Murphy, Isaac S Kohane, Tianxi Cai. Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources. J Am Med Inform Assoc 22 (5) 993--1000, Oct 2015.
  95. Yuan Luo, Yu Xin, Ephraim Hochberg, Rohit Joshi, Ozlem Uzuner, Peter Szolovits. Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text. J Am Med Inform Assoc 22 (5) 1009--19, Oct 2015.
  96. Katherine P Liao, Tianxi Cai, Guergana K Savova, Shawn N Murphy, Elizabeth W Karlson, Ashwin N Ananthakrishnan, Vivian S Gainer, Stanley Y Shaw, Zongqi Xia, Peter Szolovits, Susanne Churchill, Isaac Kohane. Development of phenotype algorithms using electronic medical records and incorporating natural language processing. BMJ 350 h1885, May 2015.
  97. Marzyeh Ghassemi, Marco A F Pimentel, Tristan Naumann, Thomas Brennan, David A Clifton, Peter Szolovits, Mengling Feng. A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data. Proc Conf AAAI Artif Intell 2015 446--453, Feb 2015.
  98. U Kartoun, V Kumar, A Brettman, S Yu, K Liao, E W Karlson, Ashwin Ananthakrishnan, Zongqi Xia, Vivian Gainer, Andrew Cagan, Shawn Murphy, Susanne Churchill, Isaac Kohane, Peter Szolovits, Tianxi Cai, Stanley Shaw. A risk model for 30-day heart failure readmission using electronic medical records [Abstract]. AMIA Joint Summits on Translational Science. 2015.
  99. Uri Kartoun, Vishesh Kumar, Su-Chun Cheng, Sheng Yu, Katherine Liao, Elizabeth Karlson, Ashwin Ananthakrishnan, Zongqi Xia, Vivian Gainer, Andrew Cagan, Guergana Savova, Pei Chen, Shawn Murphy, Susanne Churchill, Isaac Kohane, Peter Szolovits, Tianxi Cai, Stanley Y Shaw. Demonstrating the Advantages of Applying Data Mining Techniques on Time-Dependent Electronic Medical Records. Proceedings of the AMIA Annual Fall Symposium. 2015.
  100. Amber Stubbs, Özlem Uzuner, Christopher Kotfila, Ira Goldstein, Peter Szolovits. Challenges in Synthesizing Surrogate PHI in Narrative EMRs. Medical Data Privacy Handbook, pp 717--735. Springer, Cham. 2015.
  101. Katherine P Liao, Ashwin N Ananthakrishnan, Vishesh Kumar, Zongqi Xia, Andrew Cagan, Vivian S Gainer, Sergey Goryachev, Pei Chen, Guergana K Savova, Denis Agniel, Susanne Churchill, Jaeyoung Lee, Shawn N Murphy, Robert M Plenge, Peter Szolovits, Isaac Kohane, Stanley Y Shaw, Elizabeth W Karlson, Tianxi Cai. Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts. PLoS One 10 (8) e0136651, 2015.
  102. Jennifer A Sinnott, Wei Dai, Katherine P Liao, Stanley Y Shaw, Ashwin N Ananthakrishnan, Vivian S Gainer, Elizabeth W Karlson, Susanne Churchill, Peter Szolovits, Shawn Murphy, Isaac Kohane, Robert Plenge, Tianxi Cai. Improving the power of genetic association tests with imperfect phenotype derived from electronic medical records. Hum Genet 133 (11) 1369--82, Dec 2014.
  103. Ashwin N Ananthakrishnan, Andrew Cagan, Vivian S Gainer, Su-Chun Cheng, Tianxi Cai, Elizabeth Scoville, Gauree G Konijeti, Peter Szolovits, Stanley Y Shaw, Susanne Churchill, Elizabeth W Karlson, Shawn N Murphy, Isaac Kohane, Katherine P Liao. Thromboprophylaxis is associated with reduced post-hospitalization venous thromboembolic events in patients with inflammatory bowel diseases. Clin Gastroenterol Hepatol 12 (11) 1905--10, Dec 2014.
  104. Ashwin N Ananthakrishnan, Andrew Cagan, Vivian S Gainer, Su-Chun Cheng, Tianxi Cai, Peter Szolovits, Stanley Y Shaw, Susanne Churchill, Elizabeth W Karlson, Shawn N Murphy, Isaac Kohane, Katherine P Liao. Mortality and extraintestinal cancers in patients with primary sclerosing cholangitis and inflammatory bowel disease. J Crohns Colitis 8 (9) 956--63, Oct 2014.
  105. Marzyeh Ghassemi, Tristan Naumann, Finale Doshi-Velez, Nicole Brimmer, Rohit Joshi, Anna Rumshisky, Peter Szolovits. Unfolding Physiological State: Mortality Modelling in Intensive Care Units. KDD : proceedings. International Conference on Knowledge Discovery \& Data Mining, pp 75--84. Volume 2014 2014.
  106. Ashwin N Ananthakrishnan, Su-Chun Cheng, Tianxi Cai, Andrew Cagan, Vivian S Gainer, Peter Szolovits, Stanley Y Shaw, Susanne Churchill, Elizabeth W Karlson, Shawn N Murphy, Isaac Kohane, Katherine P Liao. Serum inflammatory markers and risk of colorectal cancer in patients with inflammatory bowel diseases. Clin Gastroenterol Hepatol 12 (8) 1342--8.e1, Sep 2014.
  107. Katherine P Liao, Dorothée Diogo, Jing Cui, Tianxi Cai, Yukinori Okada, Vivian S Gainer, Shawn N Murphy, Namrata Gupta, Daniel Mirel, Ashwin N Ananthakrishnan, Peter Szolovits, Stanley Y Shaw, Soumya Raychaudhuri, Susanne Churchill, Isaac Kohane, Elizabeth W Karlson, Robert M Plenge. Association between low density lipoprotein and rheumatoid arthritis genetic factors with low density lipoprotein levels in rheumatoid arthritis and non-rheumatoid arthritis controls. Ann Rheum Dis 73 (6) 1170--5, Jul 2014.
  108. A Velasquez, M Ghassemi, P Szolovits, S Park, J Osorio, A Dejam, L Celi. Long-term outcomes of minor troponin elevations in the intensive care unit. Anaesth Intensive Care 42 (3) 356--64, Jun 2014.
  109. A N Ananthakrishnan, A Cagan, V S Gainer, S-C Cheng, T Cai, P Szolovits, S Y Shaw, S Churchill, E W Karlson, S N Murphy, I Kohane, K P Liao. Higher plasma vitamin D is associated with reduced risk of Clostridium difficile infection in patients with inflammatory bowel diseases. Aliment Pharmacol Ther 39 (10) 1136--42, Jun 2014.
  110. Ashwin N Ananthakrishnan, Su-Chun Cheng, Tianxi Cai, Andrew Cagan, Vivian S Gainer, Peter Szolovits, Stanley Y Shaw, Susanne Churchill, Elizabeth W Karlson, Shawn N Murphy, Isaac Kohane, Katherine P Liao. Association between reduced plasma 25-hydroxy vitamin D and increased risk of cancer in patients with inflammatory bowel diseases. Clin Gastroenterol Hepatol 12 (5) 821--7, Jun 2014.
  111. Jeffrey G Klann, Peter Szolovits, Stephen M Downs, Gunther Schadow. Decision support from local data: creating adaptive order menus from past clinician behavior. J Biomed Inform 48 84--93, May 2014.
  112. Catherine A Brownstein, Alan H Beggs, Nils Homer, Barry Merriman, Timothy W Yu, Katherine C Flannery, Elizabeth T DeChene, Meghan C Towne, Sarah K Savage, Emily N Price, Ingrid A Holm, Lovelace J Luquette, Elaine Lyon, Joseph Majzoub, Peter Neupert, David McCallie, Jr, Peter Szolovits, Huntington F Willard, Nancy J Mendelsohn, Renee Temme, Richard S Finkel, Sabrina W Yum, Livija Medne, Shamil R Sunyaev, Ivan Adzhubey, Christopher A Cassa, Paul I W de Bakker, Hatice Duzkale, Piotr Dworzyński, William Fairbrother, Laurent Francioli, Birgit H Funke, Monica A Giovanni, Robert E Handsaker, Kasper Lage, Matthew S Lebo, Monkol Lek, Ignaty Leshchiner, Daniel G MacArthur, Heather M McLaughlin, Michael F Murray, Tune H Pers, Paz P Polak, Soumya Raychaudhuri, Heidi L Rehm, Rachel Soemedi, Nathan O Stitziel, Sara Vestecka, Jochen Supper, Claudia Gugenmus, Bernward Klocke, Alexander Hahn, Max Schubach, Mortiz Menzel, Saskia Biskup, Peter Freisinger, Mario Deng, Martin Braun, Sven Perner, Richard J H Smith, Janeen L Andorf, Jian Huang, Kelli Ryckman, Val C Sheffield, Edwin M Stone, Thomas Bair, E Ann Black-Ziegelbein, Terry A Braun, Benjamin Darbro, Adam P DeLuca, Diana L Kolbe, Todd E Scheetz, Aiden E Shearer, Rama Sompallae, Kai Wang, Alexander G Bassuk, Erik Edens, Katherine Mathews, Steven A Moore, Oleg A Shchelochkov, Pamela Trapane, Aaron Bossler, Colleen A Campbell, Jonathan W Heusel, Anne Kwitek, Tara Maga, Karin Panzer, Thomas Wassink, Douglas Van Daele, Hela Azaiez, Kevin Booth, Nic Meyer, Michael M Segal, Marc S Williams, Gerard Tromp, Peter White, Donald Corsmeier, Sara Fitzgerald-Butt, Gail Herman, Devon Lamb-Thrush, Kim L McBride, David Newsom, Christopher R Pierson, Alexander T Rakowsky, Aleš Maver, Luca Lovrečić, Anja Palandačić, Borut Peterlin, Ali Torkamani, Anna Wedell, Mikael Huss, Andrey Alexeyenko, Jessica M Lindvall, Måns Magnusson, Daniel Nilsson, Henrik Stranneheim, Fulya Taylan, Christian Gilissen, Alexander Hoischen, Bregje van Bon, Helger Yntema, Marcel Nelen, Weidong Zhang, Jason Sager, Lu Zhang, Kathryn Blair, Deniz Kural, Michael Cariaso, Greg G Lennon, Asif Javed, Saloni Agrawal, Pauline C Ng, Komal S Sandhu, Shuba Krishna, Vamsi Veeramachaneni, Ofer Isakov, Eran Halperin, Eitan Friedman, Noam Shomron, Gustavo Glusman, Jared C Roach, Juan Caballero, Hannah C Cox, Denise Mauldin, Seth A Ament, Lee Rowen, Daniel R Richards, F Anthony San Lucas, Manuel L Gonzalez-Garay, C Thomas Caskey, Yu Bai, Ying Huang, Fang Fang, Yan Zhang, Zhengyuan Wang, Jorge Barrera, Juan M Garcia-Lobo, Domingo González-Lamuño, Javier Llorca, Maria C Rodriguez, Ignacio Varela, Martin G Reese, Francisco M De La Vega, Edward Kiruluta, Michele Cargill, Reece K Hart, Jon M Sorenson, Gholson J Lyon, David A Stevenson, Bruce E Bray, Barry M Moore, Karen Eilbeck, Mark Yandell, Hongyu Zhao, Lin Hou, Xiaowei Chen, Xiting Yan, Mengjie Chen, Cong Li, Can Yang, Murat Gunel, Peining Li, Yong Kong, Austin C Alexander, Zayed I Albertyn, Kym M Boycott, Dennis E Bulman, Paul M K Gordon, A Micheil Innes, Bartha M Knoppers, Jacek Majewski, Christian R Marshall, Jillian S Parboosingh, Sarah L Sawyer, Mark E Samuels, Jeremy Schwartzentruber, Isaac S Kohane, David M Margulies. An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge. Genome Biol 15 (3) R53, Apr 2014.
  113. Yuan Luo, Jason Baron, Peter Szolovits, Anand Dighe. Quantifying Information Redundancy in Common Laboratory Tests. {AMIA} 2014, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 15-19, 2014. {AMIA}. 2014.
  114. Peter Szolovits. The Unreasonable Effectiveness of Data. Critical Care 2014.
  115. Ashwin N Ananthakrishnan, Andrew Cagan, Vivian S Gainer, Su-Chun Cheng, Tianxi Cai, Stanley Shaw, Elizabeth Scoville, Gauree G Konijeti, Peter Szolovits, Elizabeth W Karlson, Susanne Churchill, Shawn N Murphy, Isaac Kohane, Katherine P Liao. Mo1262 Pharmacologic Thromboprophylaxis Reduces Post-Hospitalization Venous Thromboembolic Events in Patients With Inflammatory Bowel Disease. Gastroenterology 146 (5) S--601, 2014.
  116. Vishesh Kumar, Katherine Liao, Su-Chun Cheng, Sheng Yu, Uri Kartoun, Ari Brettman, Vivian Gainer, Andrew Cagan, Shawn Murphy, Guergana Savova, Pei Chen, Peter Szolovits, Zongqi Xia, Elizabeth Karlson, Robert Plenge, Ashwin Ananthakrishnan, Susanne Churchill, Tianxi Cai, Isaac Kohane, Stanley Shaw. Natural language processing improves phenotypic accuracy in an electronic medical record cohort of type 2 diabetes and cardiovascular disease. Journal of the American College of Cardiology 63 (12 Supplement) A1359, 2014.
  117. Yuan Luo, Peter Szolovits. Efficient Algebraic Interval Queries on Biomedical Sequence Annotations. AMIA Joint Summits on Translational Science 2014.
  118. Yuan Luo, Gregory Riedlinger, Peter Szolovits. Text mining in cancer gene and pathway prioritization. Cancer Inform 13 (Suppl 1) 69--79, 2014.
  119. Rachel Chasin, Anna Rumshisky, Ozlem Uzuner, Peter Szolovits. Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods. J Am Med Inform Assoc 21 (5) 842--9, 2014.
  120. Yuan Luo, Aliyah R Sohani, Ephraim P Hochberg, Peter Szolovits. Automatic lymphoma classification with sentence subgraph mining from pathology reports. J Am Med Inform Assoc 21 (5) 824--32, 2014.
  121. Arjun K Manrai, Isaac S Kohane, Peter Szolovits. Urinary-cell mRNA and acute kidney-transplant rejection. N Engl J Med 369 (19) 1859, Dec 2013.
  122. Ashwin N Ananthakrishnan, Andrew Cagan, Vivian S Gainer, Tianxi Cai, Su-Chun Cheng, Guergana Savova, Pei Chen, Peter Szolovits, Zongqi Xia, Philip L De Jager, Stanley Y Shaw, Susanne Churchill, Elizabeth W Karlson, Isaac Kohane, Robert M Plenge, Shawn N Murphy, Katherine P Liao. Normalization of plasma 25-hydroxy vitamin D is associated with reduced risk of surgery in Crohn's disease. Inflamm Bowel Dis 19 (9) 1921--7, Sep 2013.
  123. Ashwin N Ananthakrishnan, Tianxi Cai, Guergana Savova, Su-Chun Cheng, Pei Chen, Raul Guzman Perez, Vivian S Gainer, Shawn N Murphy, Peter Szolovits, Zongqi Xia, Stanley Shaw, Susanne Churchill, Elizabeth W Karlson, Isaac Kohane, Robert M Plenge, Katherine P Liao. Improving case definition of Crohn's disease and ulcerative colitis in electronic medical records using natural language processing: a novel informatics approach. Inflamm Bowel Dis 19 (7) 1411--20, Jul 2013.
  124. Ashwin N Ananthakrishnan, Vivian S Gainer, Tianxi Cai, Raul Guzman Perez, Su-Chun Cheng, Guergana Savova, Pei Chen, Peter Szolovits, Zongqi Xia, Philip L De Jager, Stanley Shaw, Susanne Churchill, Elizabeth W Karlson, Isaac Kohane, Roy H Perlis, Robert M Plenge, Shawn N Murphy, Katherine P Liao. Similar risk of depression and anxiety following surgery or hospitalization for Crohn's disease and ulcerative colitis. Am J Gastroenterol 108 (4) 594--601, May 2013.
  125. Katherine P Liao, Fina Kurreeman, Gang Li, Grant Duclos, Shawn Murphy, Raul Guzman, Tianxi Cai, Namrata Gupta, Vivian Gainer, Peter Schur, Jing Cui, Joshua C Denny, Peter Szolovits, Susanne Churchill, Isaac Kohane, Elizabeth W Karlson, Robert M Plenge. Associations of autoantibodies, autoimmune risk alleles, and clinical diagnoses from the electronic medical records in rheumatoid arthritis cases and non-rheumatoid arthritis controls. Arthritis Rheum 65 (3) 571--81, Apr 2013.
  126. A N Ananthakrishnan, V S Gainer, R G Perez, T Cai, S-C Cheng, G Savova, P Chen, P Szolovits, Z Xia, P L De Jager, S Y Shaw, S Churchill, E W Karlson, I Kohane, R H Perlis, R M Plenge, S N Murphy, K P Liao. Psychiatric co-morbidity is associated with increased risk of surgery in Crohn's disease. Aliment Pharmacol Ther 37 (4) 445--54, Mar 2013.
  127. Andreea Bodnari, Aurélie Névéol, Özlem Uzuner, Pierre Zweigenbaum, Peter Szolovits. Multilingual Named-Entity Recognition from Parallel Corpora. CLEF (Working Notes). 2013.
  128. Zongqi Xia, Elizabeth Secor, Lori B Chibnik, Riley M Bove, Suchun Cheng, Tanuja Chitnis, Andrew Cagan, Vivian S Gainer, Pei J Chen, Katherine P Liao, Stanley Y Shaw, Ashwin N Ananthakrishnan, Peter Szolovits, Howard L Weiner, Elizabeth W Karlson, Shawn N Murphy, Guergana K Savova, Tianxi Cai, Susanne E Churchill, Robert M Plenge, Isaac S Kohane, Philip L De Jager. Modeling disease severity in multiple sclerosis using electronic health records. PLoS One 8 (11) e78927, 2013.
  129. Zongqi Xia, Riley Bove, Tianxi Cai, Suchun Cheng, Raul Ng Perez, Vivian S Gainer, Shawn N Murphy, Pei J Chen, Guergana K Savova, Katherine Liao, Elizabeth W Karlson, Stanley Y Shaw, Ashwin N Ananthakrishnan, Peter Szolovits, Susanne E Churchill, Isaac S Kohane, Robert M Plenge, Philip De Jager. Leveraging Electronic Health Records for Research in Multiple Sclerosis [abstract]. Annals of Neurology 72 S141, Oct 2012.
  130. Robert S Rudin, Eric C Schneider, Lynn A Volk, Peter Szolovits, Claudia A Salzberg, Steven R Simon, David W Bates. Simulation Suggests that medical group mergers won't undermine the potential utility of health information exchanges. Health Aff (Millwood) 31 (3) 548--59, Apr 2012.
  131. Anna Rumshisky, Rachel Chasin, {\"{O}}zlem Uzuner, Peter Szolovits. Using UMLS for Word Sense Disambiguation in Clinical Notes. {AMIA} 2012, American Medical Informatics Association Annual Symposium, Chicago, Illinois, USA, November 3-7, 2012. {AMIA}. 2012.
  132. Rohit Joshi, Peter Szolovits. Prognostic physiology: modeling patient severity in Intensive Care Units using radial domain folding. AMIA Annu Symp Proc 2012 1276--83, 2012.
  133. Andreea Bodnari, Peter Szolovits, Özlem Uzuner. MCORES: a system for noun phrase coreference resolution for clinical records. J Am Med Inform Assoc 19 (5) 906--12, 2012.
  134. Fina Kurreeman, Katherine Liao, Lori Chibnik, Brendan Hickey, Eli Stahl, Vivian Gainer, Gang Li, Lynn Bry, Scott Mahan, Kristin Ardlie, Brian Thomson, Peter Szolovits, Susanne Churchill, Shawn N Murphy, Tianxi Cai, Soumya Raychaudhuri, Isaac Kohane, Elizabeth Karlson, Robert M Plenge. Genetic basis of autoantibody positive and negative rheumatoid arthritis risk in a multi-ethnic cohort derived from electronic health records. Am J Hum Genet 88 (1) 57--69, Feb 2011.
  135. Peter Szolovits. Possibilities for healthcare computing. Journal of Computer Science and Technology 26 (4) 625--631, 2011.
  136. Robert S Rudin, Claudia A Salzberg, Peter Szolovits, Lynn A Volk, Steven R Simon, David W Bates. Care transitions as opportunities for clinicians to use data exchange services: how often do they occur?. J Am Med Inform Assoc 18 (6) 853--8, 2011.
  137. Isaac S Kohane, Peter Szolovits. Marco Ramoni: an appreciation of academic achievement. J Am Med Inform Assoc 18 (4) 367--9, 2011.
  138. Katherine P Liao, Tianxi Cai, Vivian Gainer, Sergey Goryachev, Qing Zeng-treitler, Soumya Raychaudhuri, Peter Szolovits, Susanne Churchill, Shawn Murphy, Isaac Kohane, Elizabeth W Karlson, Robert M Plenge. Electronic medical records for discovery research in rheumatoid arthritis. Arthritis Care Res (Hoboken) 62 (8) 1120--7, Sep 2010.
  139. Rohit Joshi, Kanak Kshetri, Choong-Hyun Lee, Peter Szolovits. Modeling Latent Pathophysiologic States. NIPS 2010 Workshop on Learning and Planning from Batch Time Series Data. 2010.
  140. Jeffrey G Klann, Peter Szolovits. An intelligent listening framework for capturing encounter notes from a doctor-patient dialog. BMC Med Inform Decis Mak 9 Suppl 1 S3, Dec 2009.
  141. Caleb W Hug, Peter Szolovits. ICU acuity: real-time models versus daily models. AMIA Annu Symp Proc 2009 260--4, Dec 2009.
  142. Vimla L Patel, Edward H Shortliffe, Mario Stefanelli, Peter Szolovits, Michael R Berthold, Riccardo Bellazzi, Ameen Abu-Hanna. The coming of age of artificial intelligence in medicine. Artif Intell Med 46 (1) 5--17, Jun 2009.
  143. mc Schraefel, Paul André, Ryen White, Desney Tan, Tim Berners-Lee, Sunny Consolvo, Robert Jacobs, Isaac S Kohane, Christopher A Le Dantec, Lena Mamykina, Gary Marsden, Ben Shneiderman, Peter Szolovits, Daniel Weitzner. Interacting with eHealth: towards grand challenges for HCI. CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing Systems May 2009.
  144. G D Clifford, W J Long, G B Moody, P Szolovits. Robust parameter extraction for decision support using multimodal intensive care data. Philos Trans A Math Phys Eng Sci 367 (1887) 411--29, Feb 2009.
  145. Leo Anthony Celi, Mauricio Villaroel, Guido Davidzon, Sean Galvin, Gari Clifford, Ivor Galvin, Richard Bunton, Peter Szolovits. Comparing the Performance of Customized Mortality Prediction Models using Local Database against Current Standard Scoring Systems. Critical Care Medicine 37 (12) A357, 2009.
  146. Ishna Neamatullah, Margaret M Douglass, Li-wei H Lehman, Andrew Reisner, Mauricio Villarroel, William J Long, Peter Szolovits, George B Moody, Roger G Mark, Gari D Clifford. Automated de-identification of free-text medical records. BMC Med Inform Decis Mak 8 32, Aug 2008.
  147. Ying Zhang, Peter Szolovits. Patient-specific learning in real time for adaptive monitoring in critical care. J Biomed Inform 41 (3) 452--60, Jul 2008.
  148. Ozlem Uzuner, Tawanda C Sibanda, Yuan Luo, Peter Szolovits. A de-identifier for medical discharge summaries. Artif Intell Med 42 (1) 13--35, Feb 2008.
  149. Jeffrey Klann, Peter Szolovits. An intelligent listening framework for capturing encounter notes from a doctor-patient dialog. Bioinformatics and Biomeidcine Workshops, 2008. BIBMW 2008. IEEE International Workshop on Biomedical and Health Informatics, pp 70--74. 2008.
  150. Leo Anthony Celi, L Christian Hinske, Gil Alterovitz, Peter Szolovits. An artificial intelligence tool to predict fluid requirement in the intensive care unit: a proof-of-concept study. Crit Care 12 (6) R151, 2008.
  151. Ozlem Uzuner, Yuan Luo, Peter Szolovits. Evaluating the state-of-the-art in automatic de-identification. J Am Med Inform Assoc 14 (5) 550--63, 2007.
  152. Peter Szolovits. What is a grid?. J Am Med Inform Assoc 14 (3) 386, 2007.
  153. Mojdeh Mohtashemi, Peter Szolovits, James Dunyak, Kenneth D Mandl. A susceptible-infected model of early detection of respiratory infection outbreaks on a background of influenza. J Theor Biol 241 (4) 954--63, Sep 2006.
  154. Paola Sebastiani, Kenneth D Mandl, Peter Szolovits, Isaac S Kohane, Marco F Ramoni. A Bayesian dynamic model for influenza surveillance. Stat Med 25 (11) 1803--25, Jul 2006.
  155. Ozlem Uzuner, Peter Szolovits, Isaac Kohane. i2b2 workshop on natural language processing challenges for clinical records. Proceedings of the Fall Symposium of the American Medical Informatics Association. 2006.
  156. Thomas Heldt, Bill Long, George C Verghese, Peter Szolovits, Roger G Mark. Integrating data, models, and reasoning in critical care. Conf Proc IEEE Eng Med Biol Soc 1 350--3, 2006.
  157. Tawanda Sibanda, Tian He, Peter Szolovits, Ozlem Uzuner. Syntactically-informed semantic category recognition in discharge summaries. AMIA Annu Symp Proc 714--8, 2006.
  158. Gianluigi Fioriglio, Peter Szolovits. Copy fees and patients' rights to obtain a copy of their medical records: from law to reality. AMIA Annu Symp Proc 251--5, 2005.
  159. Hamish S F Fraser, Paul Biondich, Deshen Moodley, Sharon Choi, Burke W Mamlin, Peter Szolovits. Implementing electronic medical record systems in developing countries. Inform Prim Care 13 (2) 83--95, 2005.
  160. Isaac Kohane, Peter Szolovits, Alberto Riva, Kenneth Mandl. System and method for providing personal control of access to confidential records over a public network.
  161. Jon Doyle, Isaac Kohane, William Long, Peter Szolovits. The Architecture of MAITA: A Tool for Monitoring, Analysis, and Interpretation.
  162. J Shu, GD Clifford, WJ Long, GB Moody, P Szolovits, RG Mark. An open-source, interactive java-based system for rapid encoding of significant events in the ICU using the unified medical language system. Computers in Cardiology 31 (1) 197--200, 2004.
  163. Hamish SF Fraser, J Darius, Peter Szolovits, Libby Levinson TeleMedMail. Software to Facilitate Store and Forward Telemedicine in Developing Countries.
  164. William J Long, Jon Doyle, Glenn Burke, Peter Szolovits. Detection of intrusion across multiple sensors. System Diagnosis and Prognosis: Security and Condition Monitoring Issues III, pp 141--150. Volume 5107 2003.
  165. Peter Szolovits. Adding a medical lexicon to an English Parser. AMIA Annu Symp Proc 639--43, 2003.
  166. Jon Doyle, Peter Szolovits. High-performance knowledge base support for monitoring, analysis, and interpretation tasks.
  167. A Riva, K D Mandl, D H Oh, D J Nigrin, A Butte, P Szolovits, I S Kohane. The personal internetworked notary and guardian. Int J Med Inform 62 (1) 27--40, Jul 2001.
  168. K D Mandl, P Szolovits, I S Kohane. Public standards and patients' control: how to keep electronic medical records accessible but private. BMJ 322 (7281) 283--7, Mar 2001.
  169. Min Wu, Lik Mui, Mojdeh Mohtashemi, Peter Szolovits. Secure Health Information Sharing System: SHARE. Proc AMIA Symp, pp 1060. 2001.
  170. Lik Mui, Mojdeh Mohtashemi, Cheewee Ang, Peter Szolovits, Ari Halberstadt. Ratings in distributed systems: A Bayesian approach. Proceedings of the Workshop on Information Technologies and Systems (WITS), pp 1--7. 2001.
  171. Hamish Fraser, Libby Levison, Michael Nikiforov, Darius Jazayeri, Candy Day, Peter Szolovits, Jim Y Kim. Informatics support for the management of drug resistant tuberculosis in Peru and Russia. Proceedings of the AMIA Symposium, pp 907. 2001.
  172. Jon Doyle, Isaac Kohane, William Long, Howard Shrobe, Peter Szolovits. Event recognition beyond signature and anomaly. Proceedings of the Second IEEE SMC Information Assurance Workshop, pp 1130. Volume 1 2001.
  173. Lik Mui, Peter Szolovits, Cheewee Ang. Collaborative sanctioning: Applications in restaurant recommendations based on reputation. Proceedings of the fifth international conference on Autonomous agents, pp 118--119. 2001.
  174. Jon Doyle, Isaac Kohane, William Long, Howard Shrobe, Peter Szolovits. Agile monitoring for cyber defense. Proceedings DARPA Information Survivability Conference and Exposition II. DISCEX'01, pp 318--328. Volume 1 2001.
  175. H S Fraser, D Jazayeri, L Bannach, P Szolovits, S J McGrath. TeleMedMail: free software to facilitate telemedicine in developing countries. Stud Health Technol Inform 84 (Pt 1) 815--9, 2001.
  176. Jon Doyle, Howard Shrobe, Peter Szolovits. On widening the scope of attack recognition languages.
  177. Bernard Lo, Elizabeth Andrews, John Colmers, George Duncan, Janlori Goldman, Craig W Hendrix, Mark C Hornbrook, Lisa Iezzoni, Donald Kornfeld, Elliot Stone, Peter Szolovits, Adele Waller. Protecting Data Privacy in Health Services Research. National Academies Press. 2000.
  178. Lucila Ohno-Machado, Aziz Boxwala, Hamish Fraser, Robert Greenes, Isaac Kohane, Heimar Marin, Eduardo Marques, Eduardo Massad, Beatriz Rocha, Roberto Rocha, Laura Smeaton, Peter Szolovits. First Steps Towards Implementing an International Training Program in Medical Informatics: The Brazil/USA Project. Proceedings of the AMIA Symposium, pp 1105. 2000.
  179. Hamish SF Fraser, Darius Jazayeri, Peter Szolovits, St John D McGrath. Appropriate technology for telemedicine in developing countries. Proceedings of the AMIA Symposium, pp 1010. 2000.
  180. Howard Shrobe, Jon Doyle, Peter Szolovits. Active trust management for autonomous adaptive survivable systems (ATM's for AASS's). International Workshop on Self-Adaptive Software, pp 40--49. 2000.
  181. John Roberts, Sheila R Decter, Denise Nagel, David M Rind, Peter Szolovits, Isaac S Kohane. Confidentiality and electronic medical records. Annals of internal medicine 128 (6) 510--511, 1998.
  182. Jon Doyle, Isaac Kohane, William J Long, Peter Szolovits. Adaptive Knowledge-Based Monitoring for Information Assurance.
  183. I S Kohane, H Dong, P Szolovits. Health information identification and de-identification toolkit. Proc AMIA Symp 356--60, 1998.
  184. D M Rind, I S Kohane, P Szolovits, C Safran, H C Chueh, G O Barnett. Maintaining the confidentiality of medical records shared over the Internet and the World Wide Web. Ann Intern Med 127 (2) 138--41, Aug 1997.
  185. J D Halamka, I S Kohane, P Szolovits, D Rind, H Goldberg, F J van Wingerde, C Safran. Cross-institutional Electronic Medical Records for Emergency Care. Annals of Emergency Medicine 30 (3) 387, 1997.
  186. David M Rind, Isaac S Kohane, Peter Szolovits, Charles Safran, Henry C Chueh, G Octo Barnett. Confidentiality of Medical Records in the W3-EMRS Project. Proceedings of the AMIA Annual Fall Symposium, pp 989. 1997.
  187. Manish Goyal, Peter Szolovits. A Visual Method for Input of Uncertain Time-Oriented Data. AMIA Annual Symposium Proceedings, pp 944. 1997.
  188. J D Halamka, P Szolovits, D Rind, C Safran. A WWW implementation of national recommendations for protecting electronic health information. J Am Med Inform Assoc 4 (6) 458--64, 1997.
  189. K Wang, F J van Wingerde, K Bradshaw, P Szolovits, I Kohane. A Java-based multi-institutional medical information retrieval system. Proc AMIA Annu Fall Symp 538--42, 1997.
  190. Peter Szolovits. Sources of error and accountability in computer systems: comments on ``accountability in a computerized society''. Science and Engineering Ethics 2 (1) 43--46, 1996.
  191. Ruilin Zhao, RG Mark, P Szolovits. A model-based expert system for interpretation of hemodynamic data from ICU patients. Computers in Cardiology 1996, pp 585--588. 1996.
  192. Christopher Cimino, Ngo T Nhan, Jiri Schindler, Peter Szolovits, Isaac Kohane. A Model for Distributed Vocabulary Translation. Proceedings of the AMIA Annual Fall Symposium, pp 837. 1996.
  193. I S Kohane, P Greenspun, J Fackler, C Cimino, P Szolovits. Building national electronic medical record systems via the World Wide Web. J Am Med Inform Assoc 3 (3) 191--207, 1996.
  194. F J van Wingerde, J Schindler, P Kilbridge, P Szolovits, C Safran, D Rind, S Murphy, G O Barnett, I S Kohane. Using HL7 and the World Wide Web for unifying patient data from remote databases. Proc AMIA Annu Fall Symp 643--7, 1996.
  195. I S Kohane, F J van Wingerde, J C Fackler, C Cimino, P Kilbridge, S Murphy, H Chueh, D Rind, C Safran, O Barnett, P Szolovits. Sharing electronic medical records across multiple heterogeneous and competing institutions. Proc AMIA Annu Fall Symp 608--12, 1996.
  196. P Szolovits. Uncertainty and decisions in medical informatics. Methods Inf Med 34 (1-2) 111--21, Apr 1995.
  197. Peter Szolovits. Knowledge-based systems. John V Guttag, Albert Meyer, Ronald L Rivest, Peter Szolovits, Eds. Research Directions in Computer Science: An MIT Perspective. MIT Press. 1995.
  198. IS Kohane, P Greenspun, J Fackler, P Szolovits. Accessing Pediatric Electronic Medical Record Systems via the World-Wide-Web. Pediatric Research 37 (4) A139, 1995.
  199. Richard Franier, Nicholas Groleau, Lyman Hazelton, Silvano Colombano, Michael Compton, Irving Statler, Peter Szolovits, Laurence Young. PI-in-a-Box: A knowledge-based system for space science experimentation. AI Magazine 15 (1) 39--51, 1994.
  200. Lyman R Hazelton, Nicolas Groleau, Richard J Frainier, Michael M Compton, Silvano P Colombano, Peter Szolovits. PI in the Sky: the Astronaut Science Advisor on SLS-2. The Seventh Annual Workshop on Space Operations Applications and Research (SOAR 1993), pp 304--312. Volume 1 1994.
  201. Peter Szolovits, Jon Doyle, William J Long, Isaac Kohane, Stephen G Pauker. Guardian Angel: Patient-centered health information systems.
  202. Ross D Shachter, Stig K Andersen, Peter Szolovits. Global conditioning for probabilistic inference in belief networks. Proceedings Uncertainty in Artificial Intelligence, pp 514--522. Morgan Kaufmann. 1994.
  203. P Szolovits, I Kohane. Against simple universal health-care identifiers. J Am Med Inform Assoc 1 (4) 316--9, 1994.
  204. R A Greenes, G O Barnett, S G Pauker, P Szolovits, M C Weinstein. The Harvard-MIT-NEMC Research Training Program in Medical Informatics. Yearb Med Inform (1) 105--110, 1994.
  205. Silvano Colombano, Rich Frainier, Nick Groleau, Irv Statler, Mike Compton, Lyman Hazelton, Peter Szolovits, Laurence Young. The Astronaut Science Advisor: Tradeoffs between Communications with the Ground and ``Onboard Intelligence''. Proceedings of Computing in Aerospace 9. San Diego, California. 1993.
  206. Randall Davis, Howard Shrobe, Peter Szolovits. What Is a Knowledge Representation?. AI Magazine 14 (1) 17--33, Apr 1993.
  207. Richard Frainier, Nicolas Groleau, Lyman Hazelton, Peter Szolovits, Laurence Young, Silvano Colombano, Irving Statler, Michael Compton II. PI-in-a-Box: A Knowledge-Based System for Space Science Experimentation. Proceedings of the The Fifth Conference on Innovative Applications of Artificial Intelligence, pp 34--49. 1993.
  208. Nicolas Groleau, Lyman Hazelton, Rich Frainier, Michael Compton, Silvano Colombano, Peter Szolovits. PORTABLE COMPUTING: A FIELDED INTERACTIVE SCIENTIFIC APPLICATION IN A SMALL OFF-THE-SHELF PACKAGE. AIAA Computing in Aerospace Conference, 9 th, San Diego, CA, pp 755--763. 1993.
  209. Nicolas Groleau, RJ Frainier, SP Colombano, LR Hazelton, Peter Szolovits. MARIKA: A Model Revision System Using Qualitative Analysis of Simulations. Proceedings of Computing in Aerospace. Volume 9 1993.
  210. Peter Szolovits, Stephen G Pauker. Categorical and probabilistic reasoning in medicine revisited. Artificial Intelligence 59 167--180, 1993.
  211. P Szolovits, S G Pauker. A coherent philosophy for development or a straightjacket for research?. Methods Inf Med 32 (1) 16--7, 1993.
  212. Paul Rosenbloom, Peter Szolovits, Eds. Tenth National Conference on Artificial Intelligence.
  213. P Szolovits, S Pauker. Pedigree analysis for genetic counseling. K C Lun, Ed. MEDINFO 92, pp 679--683. Elsevier. 1992.
  214. P Szolovits. Compilation for fast calculation over pedigrees. Cytogenet Cell Genet 59 (2-3) 136--8, 1992.
  215. Ross D Shachter, Stig Kjær Andersen, Peter Szolovits. The equivalence of exact methods for probabilistic inference on belief networks.
  216. John V Guttag, Albert Meyer, Ronald L Rivest, Peter Szolovits, Eds. Research Directions in Computer Science: An MIT Perspective. MIT Press. 1991.
  217. Peter Szolovits. Expert systems tools and techniques: past, present and future. W Eric L Grimson, Ramesh S Patil, Eds. AI in the 1980s and Beyond: An MIT Survey, pp 43--74. MIT Press. 1990.
  218. Guido Haymann-Haber, Silvano P Colombano, Nicolas Groleau, Don Rosenthal, Peter Szolovits, Laurence R Young. An expert system to advise astronauts during experiments: The protocol manager module. Third Annaul Workshop on Space Operations Automation and Robotics (SOAR 1989). 1990.
  219. R Frainier, S Colombano, S Lai, P Szolovits, M Manahan, I Statler, L Young. A comparison of CLIPS-and LISP-based approaches to the development of a real-time expert system. First CLIPS Conference, pp 320. 1990.
  220. Laurence R Young, Nicolas Groleau, Peter Szolovits, Silvano P Colombano, Don Rosenthal, Guido Haymann-Haber. An expert system to advise astronauts during experiments. IAF, International Astronautical Congress, 40th. Malaga, Spain. 1989.
  221. DE Hirsch, SR Simon, T Bylander, MA Weintraub, Peter Szolovits. Using Causal Reasoning in Gait Analysis. Applied Artificial Intelligence 3 (2-3) 337--356, 1989.
  222. S R Simon, T Bylander, M Weintraub, Peter Szolovits, D E Hirsch. Dr. Gait: An Expert System for Gait Analysis. Transactions on Orthopedic Research 13 (2) 330--331, 1989.
  223. P Szolovits, R S Patil, W B Schwartz. Artificial intelligence in medical diagnosis. Ann Intern Med 108 (1) 80--7, Feb 1988.
  224. Ira J Haimowitz, Ramesh S Patil, Peter Szolovits. Representing medical knowledge in a terminological language is difficult. Proceedings of the Annual Symposium on Computer Application in Medical Care, pp 101--105. 1988.
  225. Peter Szolovits. How can computer programs reason?. CARDIOSTIM'88. Monaco. 1988.
  226. Peter Szolovits. Computer Science and Medical Decision Support. Michael Dertouzos, Ed. Laboratory for Computer Science Progress Report 24, July 1986-June 1987. Volume 24 DTIC. 1988.
  227. W B Schwartz, R S Patil, P Szolovits. Artificial intelligence in medicine. Where do we stand?. N Engl J Med 316 (11) 685--8, Apr 1987.
  228. A R Potvin, W G Crosier, E Fromm, J C Lin, M R Neuman, T C Pilkington, C J Robinson, L W Schneider, J W Strohbehn, P Szolovits, Willis J Tompkins. Report of an IEEE task force--an IEEE opinion on research needs for biomedical engineering systems. IEEE Trans Biomed Eng 33 (1) 48--59, Feb 1986.
  229. Peter Szolovits. Knowledge-based systems: A survey. M L Brodie, J Mylopoulos, Eds. On Knowledge Base Management Systems, pp 339--352. Springer, New York, NY. 1986.
  230. Peter Szolovits, Jerome P Kassirer, William J Long, Allan J Moskowitz, Stephen G Pauker, Ramesh S Patil, Michael P Wellman. An artificial intelligence approach to clinical decision making.
  231. Casimir A Kulikowski, Harry E Pople, Peter Szolovits. Expert systems in medicine: 1970-1985. Proc. of the International Conference on Artificial Intelligence in Medicine. Pavia, Italy. 1985.
  232. Ramesh S Patil, Peter Szolovits, William B Schwartz. Causal Understanding of Patient Illness in Medical Diagnosis. J Reggia, Ed. Computer-Assisted Medical Decision Making, pp 272--292. Springer-Verlag, New York, NY. 1985.
  233. WJ Long, S Naimi, MG Criscitiello, SG Pauker, P Szolovits. An aid to physiological reasoning in the management of cardiovascular disease. 1984 Computers in Cardiology Conference, pp 3--6. 1984.
  234. Peter Szolovits. Artificial intelligence and medicine. P Szolovits, Ed. Artificial Intelligence in Medicine, Chapter 1. Westview Press. 1982.
  235. Peter Szolovits, William J Long. The development of clinical expertise in the computer. Artificial Intelligence in Medicine, Chapter 4, pp 79--117. Westview Press. 1982.
  236. Ramesh S Patil, Peter Szolovits, William B Schwartz. Modeling knowledge of the patient in acid-base and electrolyte disorders. Peter Szolovits, Ed. Artificial Intelligence in Medicine, Chapter 6, pp 187--222. Westview Press. 1982.
  237. Ramesh S Patil, Peter Szolovits, William B Schwartz. Information Acquisition in Diagnosis. AAAI, pp 345--348. 1982.
  238. W B Schwartz, R Patil, P Szolovits. Causal Understanding as the Basis for an Artificial-Intelligence Consulting Program. Clinical Research 30 (2) A557, 1982.
  239. Peter Szolovits, Ed. Artificial Intelligence in Medicine. Volume 51 of AAAS Selected Symposium Series. Westview Press, Boulder, CO. 1982.
  240. Ramesh S Patil, Peter Szolovits, William B Schwartz. Causal understanding of patient illness in medical diagnosis. Proceedings of the 7th international joint conference on Artificial intelligence, pp 893--899. Volume 81 Morgan Kaufmann, Vancouver, BC, Canada. 1981.
  241. Peter Szolovits, William A Martin. Brand X: LISP Suport for Semantic Networks. Proceedings of the 7th international joint conference on Artificial intelligence, pp 940--946. Morgan Kaufmann, Vancouver, BC, Canada. 1981.
  242. Peter Szolovits, William A Martin. Brand X Manual.
  243. Peter Szolovits, Stephen G Pauker. Computers and clinical decision making: Whether, how, and for whom?. Proceedings of the IEEE 67 (9) 1224--1226, 1979.
  244. Peter Szolovits. Artificial intelligence and clinical problem solving.
  245. Peter Szolovits. Coordinating the Use of Categorical and Probabilistic Reasoning. W B Jarzembski, B A Rowley, Eds. Proceedings: 1978 Workshop on Computer Laboratory Health Care Resources, pp 21--43. Lubbock, Texas. 1978.
  246. Peter Szolovits. The development of clinical expertise in the computer--The evolution of clinical decision-making programs at MIT (Abstract of presentation). Sakti P Ghosh, Leonard Y Liu, Eds. Proceedings of the 1978 National Computer Conference, pp 258. AFIPS Press. 1978.
  247. Peter Szolovits, Stephen G Pauker. Categorical and probabilistic reasoning in medical diagnosis. Artificial Intelligence 11 (1-2) 115--144, 1978.
  248. Peter Szolovits, Lowell B Hawkinson, William A Martin. An Overview of OWL, A Language for Knowledge Representation.
  249. Stephen G Pauker, Peter Szolovits. Analyzing and simulating taking the history of the present illness: Context formation. Schneider, Sagvall-Hein, Eds. Computational Linguistics in Medicine, pp 109--18. North Holland, Amsterdam. 1977.
  250. F Thompson, R Bigelow, Norton Greenfeld, J Odden, D Reece, Peter Szolovits. The REL animated film language. Proceedings of the 1st annual conference on Computer graphics and interactive techniques, pp 40--40. 1974.
  251. Richard H Bigelow, Norton R Greenfield, Peter Szolovits, Frederick B Thompson. Specialized languages: an applications methodology. Proceedings of the June 4-8, 1973, National Computer Conference and Exposition, pp m49--m53. 1973.
    252. Updated: 2022-05-21

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