Modeling polypharmacy side effects with graph convolutional networks M Zitnik, M Agrawal, J Leskovec Bioinformatics 34 (13), i457-i466, 2018 | 1171 | 2018 |
Large language models are few-shot clinical information extractors M Agrawal, S Hegselmann, H Lang, Y Kim, D Sontag Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 218 | 2022 |
Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research B Birnbaum, N Nussbaum, K Seidl-Rathkopf, M Agrawal, M Estevez, ... arXiv preprint arXiv:2001.09765, 2020 | 183 | 2020 |
Large-scale analysis of disease pathways in the human interactome M Agrawal, M Zitnik, J Leskovec PACIFIC SYMPOSIUM ON BIOCOMPUTING 2018: Proceedings of the Pacific Symposium …, 2018 | 130 | 2018 |
TabLLM: few-shot classification of tabular data with large language models S Hegselmann, A Buendia, H Lang, M Agrawal, X Jiang, D Sontag International Conference on Artificial Intelligence and Statistics, 5549-5581, 2023 | 112 | 2023 |
Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative A Levy, M Agrawal, A Satyanarayan, D Sontag Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 66 | 2021 |
Systems and methods for model-assisted cohort selection BE Birnbaum, JD Haimson, LDK He, KN Seidl-Rathkopf, MN Agrawal, ... US Patent 10,304,000, 2019 | 66 | 2019 |
Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph IY Chen, M Agrawal, S Horng, D Sontag Pac Symp Biocomput, 19-30, 2020 | 57 | 2020 |
Co-training improves prompt-based learning for large language models H Lang, MN Agrawal, Y Kim, D Sontag International Conference on Machine Learning, 11985-12003, 2022 | 40 | 2022 |
Fast, Structured Clinical Documentation via Contextual Autocomplete D Gopinath, M Agrawal, L Murray, S Horng, D Karger, D Sontag Machine Learning for Healthcare Conference, 842-870, 2020 | 22 | 2020 |
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming A Lew, M Agrawal, D Sontag, V Mansinghka International Conference on Artificial Intelligence and Statistics, 1927-1935, 2021 | 21 | 2021 |
Single-shot speckle noise reduction by interleaved optical coherence tomography L Duan, HY Lee, G Lee, M Agrawal, GT Smith, AK Ellerbee Journal of Biomedical Optics 19 (12), 120501, 2014 | 17 | 2014 |
MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records L Murray, D Gopinath, M Agrawal, S Horng, D Sontag, DR Karger The 34th Annual ACM Symposium on User Interface Software and Technology …, 2021 | 15 | 2021 |
Fabrication of healthy and disease-mimicking retinal phantoms with tapered foveal pits for optical coherence tomography GCF Lee, GT Smith, M Agrawal, T Leng, AK Ellerbee Journal of biomedical optics 20 (8), 085004, 2015 | 13 | 2015 |
Leveraging Time Irreversibility with Order-Contrastive Pre-training MN Agrawal, H Lang, M Offin, L Gazit, D Sontag International Conference on Artificial Intelligence and Statistics, 2330-2353, 2022 | 8 | 2022 |
Directing Human Attention in Event Localization for Clinical Timeline Creation J Zhao, M Agrawal, P Razavi, D Sontag Machine Learning for Healthcare Conference, 80-102, 2021 | 6 | 2021 |
What’s up, doc? a medical diagnosis bot M Agrawal, J Cheng, C Tran Spoken Language Processing (CS224S), Spring 2017, 2017 | 6 | 2017 |
Automated NLP Extraction of Clinical Rationale for Treatment Discontinuation in Breast Cancer MS Alkaitis, MN Agrawal, GJ Riely, P Razavi, D Sontag JCO Clinical Cancer Informatics 5, 550-560, 2021 | 5 | 2021 |
TIFTI: A Framework for Extracting Drug Intervals from Longitudinal Clinic Notes M Agrawal, G Adams, N Nussbaum, B Birnbaum arXiv preprint arXiv:1811.12793, 2018 | 5 | 2018 |
Robust Benchmarking for Machine Learning of Clinical Entity Extraction M Agrawal, C O’Connell, Y Fatemi, A Levy, D Sontag Machine Learning for Healthcare Conference, 928-949, 2020 | 4 | 2020 |