Monica Agrawal | DeepAI

DeepAI AI Chat

Featured Co-authors

Jure Leskovec
142 publications
David Sontag
75 publications
Yoon Kim
38 publications
Marinka Zitnik
37 publications
Vikash K. Mansinghka
37 publications
Arvind Satyanarayan
27 publications
Shalmali Joshi
20 publications
Divya Gopinath
17 publications
Steven Horng
16 publications
Hunter Lang
15 publications
Xiaoyi Jiang
14 publications

∙ 08/09/2023

Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes

The large amount of time clinicians spend sifting through patient notes ...

0 Sharon Jiang, et al. ∙

∙ 11/28/2022

Machine Learning for Health symposium 2022 – Extended Abstract track

A collection of the extended abstracts that were presented at the 2nd Ma...

0 Antonio Parziale, et al. ∙

∙ 10/19/2022

TabLLM: Few-shot Classification of Tabular Data with Large Language Models

We study the application of large language models to zero-shot and few-s...

0 Stefan Hegselmann, et al. ∙

∙ 05/25/2022

Large Language Models are Zero-Shot Clinical Information Extractors

We show that large language models, such as GPT-3, perform well at zero-...

0 Monica Agrawal, et al. ∙

∙ 02/02/2022

Co-training Improves Prompt-based Learning for Large Language Models

We demonstrate that co-training (Blum Mitchell, 1998) can improve th...

0 Hunter Lang, et al. ∙

∙ 11/04/2021

Leveraging Time Irreversibility with Order-Contrastive Pre-training

Label-scarce, high-dimensional domains such as healthcare present a chal...

0 Monica Agrawal, et al. ∙

∙ 09/23/2021

MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records

Clinical documentation can be transformed by Electronic Health Records, ...

0 Luke Murray, et al. ∙

∙ 03/08/2021

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

Automated decision support can accelerate tedious tasks as users can foc...

0 Ariel Levy, et al. ∙

∙ 07/31/2020

Robust Benchmarking for Machine Learning of Clinical Entity Extraction

Clinical studies often require understanding elements of a patient's nar...

0 Monica Agrawal, et al. ∙

∙ 07/29/2020

Fast, Structured Clinical Documentation via Contextual Autocomplete

We present a system that uses a learned autocompletion mechanism to faci...

9 Divya Gopinath, et al. ∙

∙ 07/23/2020

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

Data cleaning can be naturally framed as probabilistic inference in a ge...

10 Alexander K. Lew, et al. ∙

∙ 01/13/2020

Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research

Objective Electronic health records (EHRs) are a promising source of dat...

0 Benjamin Birnbaum, et al. ∙

∙ 10/02/2019

Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph

Increasingly large electronic health records (EHRs) provide an opportuni...

31 Irene Y. Chen, et al. ∙

∙ 11/30/2018

TIFTI: A Framework for Extracting Drug Intervals from Longitudinal Clinic Notes

Oral drugs are becoming increasingly common in oncology care. In contras...

0 Monica Agrawal, et al. ∙

∙ 02/02/2018

Modeling polypharmacy side effects with graph convolutional networks

The use of multiple drugs, termed polypharmacy, is common to treat patie...

0 Marinka Zitnik, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world