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Monica Agrawal
Monica Agrawal
PhD Student, MIT CSAIL
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Modeling polypharmacy side effects with graph convolutional networks
M Zitnik, M Agrawal, J Leskovec
Bioinformatics 34 (13), i457-i466, 2018
7152018
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
842020
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
752018
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
332020
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
232019
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
212021
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
142014
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
112020
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
82015
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
62021
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
42022
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
42021
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
32018
Large Language Models are Zero-Shot Clinical Information Extractors
M Agrawal, S Hegselmann, H Lang, Y Kim, D Sontag
arXiv preprint arXiv:2205.12689, 2022
22022
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
12022
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
12021
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
12021
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
12020
Prediction of Post-Collegiate Earnings and Debt
M Agrawal, P Ganesan, K Wyngarden
CS 229, 2015
12015
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