Monica Agrawal

About Monica Agrawal

Monica Agrawal, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at Massachusetts Institute of Technology,

His recent articles reflect a diverse array of research interests and contributions to the field:

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium

A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models

Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study

Clinical Documentation System

Towards Scalable Structured Data from Clinical Text

Use large language models to promote equity

Conceptualizing machine learning for dynamic information retrieval of electronic health record notes

TabLLM: few-shot classification of tabular data with large language models

Monica Agrawal Information

University

Position

PhD Student, MIT CSAIL

Citations(all)

1865

Citations(since 2020)

1822

Cited By

469

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Top articles of Monica Agrawal

A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models

arXiv preprint arXiv:2402.15422

2024/2/23

Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study

arXiv preprint arXiv:2401.09637

2024/1/17

Clinical Documentation System

2023/3/9

Towards Scalable Structured Data from Clinical Text

2023

Monica Agrawal
Monica Agrawal

H-Index: 5

Conceptualizing machine learning for dynamic information retrieval of electronic health record notes

2023/12/22

Monica Agrawal
Monica Agrawal

H-Index: 5

David Sontag
David Sontag

H-Index: 38

TabLLM: few-shot classification of tabular data with large language models

2023/4/11

Large language models are few-shot clinical information extractors

2022/5/25

Machine Learning for Health symposium 2022--Extended Abstract track

arXiv preprint arXiv:2211.15564

2022/11/28

Co-training improves prompt-based learning for large language models

2022/6/28

Leveraging Time Irreversibility with Order-Contrastive Pre-training

2022/5/3

Directing Human Attention in Event Localization for Clinical Timeline Creation

2021/10/21

MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records

2021/10/10

Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative

2021/5/6

Automated NLP Extraction of Clinical Rationale for Treatment Discontinuation in Breast Cancer

JCO Clinical Cancer Informatics

2021/5

PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming

2021/3/18

Robust Benchmarking for Machine Learning of Clinical Entity Extraction

2020/9/18

Fast, Structured Clinical Documentation via Contextual Autocomplete

2020/9/18

See List of Professors in Monica Agrawal University(Massachusetts Institute of Technology)

Co-Authors

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