Large Language Models are Few-shot Clinical Information ExtractorsMonica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David Sontag EMNLP, 2022, Oral Presentation. [Paper] [Press] [Dataset] Co-training Improves Prompt-based Learning for Large Language ModelsHunter Lang, Monica Agrawal, Yoon Kim, David SontagICML, 2022. [Paper] [Code] Leveraging Time Irreversibility with Order-Contrastive Pre-trainingMonica Agrawal*, Hunter Lang*, Michael Offin, Lior Gazit, David SontagAISTATS, 2022. [Paper] MedKnowts: Unified Documentation and Information Retrieval for Electronic Health RecordsLuke Murray, Divya Gopinath, Monica Agrawal, Steven Horng, David Sontag, David KargerUIST, 2021. [Paper] [Website (including Videos + Press)] Directing Human Attention in Event Localization for Clinical Timeline CreationJason Zhao*, Monica Agrawal*, Pedram Razavi, David SontagMachine Learning for Healthcare, 2021. [Paper] [Video] Automated NLP Extraction of Clinical Rationale for Treatment Discontinuation in Breast CancerMatthew Alkaitis, Monica Agrawal, Gregory Riely, Pedram Razavi, David SontagJCO Clinical Cancer Informatics , 2021. [Paper] Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less InitiativeAriel Levy*, Monica Agrawal*, Arvind Satyanarayan, David SontagCHI, 2021. [Paper] [Code] [Video] PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic ProgrammingAlex Lew, Monica Agrawal, David Sontag, Vikash MansinghkaAISTATS, 2021, Oral Presentation. [Paper] [Press] [Code] Robust benchmarking for machine learning of clinical entity extractionMonica Agrawal, Chloe O'Connell, Yasmin Fatemi, Ariel Levy, David SontagMachine Learning for Healthcare, 2020. [Paper] [Video] Fast, structured clinical documentation via contextual autocompleteDivya Gopinath, Monica Agrawal, Luke Murray, Steven Horng, David Karger, David SontagMachine Learning for Healthcare, 2020. [Paper] [Video] Robustly extracting medical knowledge from EHRs: A case study of learning a health knowledge graphIrene Y. Chen, Monica Agrawal, Steven Horng, David SontagPacific Symposium on Biocomputing, 2020. [Paper] [Press] Modeling polypharmacy side effects with graph convolutional networksMarinka Zitnik, Monica Agrawal, Jure LeskovecBioinformatics, 2018. [Paper] [Description] [Press] [Code] Large-scale analysis of disease pathways in the human interactome.Monica Agrawal*, Marinka Zitnik*, Jure LeskovecPacific Symposium on Biocomputing, 2018. [Paper] [Description] [Code] Fabrication of healthy and disease-mimicking retinal phantoms with tapered foveal pits for optical coherence tomography.Gary Lee, Gennifer Smith, Monica Agrawal, Theodore Lang, Audrey Ellerbee. Journal of Biomedical Optics, 2015. [Paper] Single-shot speckle noise reduction by interleaved optical coherence tomographyLian Duan, Hee Yoon Lee, Gary Lee, Monica Agrawal, Gennifer Smith, Audrey Ellerbee. Journal of Biomedical Optics, 2014. [Paper]
PClean: Probabilistic scripts for automating common-sense data cleaningAlex Lew, Monica Agrawal, Vikash Mansinghka. NeurIPS KR2ML Workshop, 2019. TIFTI: A Framework for Extracting Drug Intervals from Longitudinal Clinic NotesMonica Agrawal, Griffin Adams, Nathan Nussbaum, Benjamin Birnbaum. NeurIPS ML4H Workshop, 2018. [Paper]
Systems and methods for model-assisted cohort selection.Benjamin Birnbaum, Joshua Haimson, Lucy He, Katharina Seidl-Rathkopf, Monica Agrawal, Nathan Nussbaum. US Patent App, 2018. [Description]