| Modeling polypharmacy side effects with graph convolutional networks M Zitnik, M Agrawal, J Leskovec Bioinformatics 34 (13), i457-i466, 2018 | 1390 | 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 | 402 | 2022 |
| 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 | 270 | 2023 |
| 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 | 246 | 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 | 143 | 2018 |
| 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 | 82 | 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 | 69 | 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 | 64 | 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 | 56 | 2022 |
| 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 | 29 | 2021 |
| 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 | 24 | 2020 |
| 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 | 23 | 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 | 17 | 2015 |
| 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 |
| 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 | 13 | 2022 |
| 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 | 11 | 2021 |
| 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 | 9 | 2021 |
| A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models S Hegselmann, SZ Shen, F Gierse, M Agrawal, D Sontag, X Jiang arXiv preprint arXiv:2402.15422, 2024 | 8 | 2024 |
| Conceptualizing machine learning for dynamic information retrieval of electronic health record notes S Jiang, S Shen, M Agrawal, B Lam, N Kurtzman, S Horng, DR Karger, ... Machine Learning for Healthcare Conference, 343-359, 2023 | 7 | 2023 |
| Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study N Mannhardt, E Bondi-Kelly, B Lam, C O'Connell, M Asiedu, H Mozannar, ... arXiv preprint arXiv:2401.09637, 2024 | 6 | 2024 |
David SontagProfessor, Massachusetts Institute of TechnologyΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα csail.mit.edu
