Monica Agrawal

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All published works

Action	Title	Year	Authors
+ PDF Chat	Generative AI in Medicine	2024	Divya Shanmugam Monica Agrawal Rajiv Movva Irene Y. Chen Marzyeh Ghassemi Emma Pierson
+ PDF Chat	Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium	2024	Hyewon Jeong Sarah Jabbour Yuzhe Yang Rahul Thapta Hussein Mozannar William Han Nikita Mehandru Michael Wornow Vladislav Lialin Xin Liu
+ PDF Chat	A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models	2024	Stefan Hegselmann Shannon Zejiang Shen Florian Gierse Monica Agrawal David Sontag Xiaoyi Jiang
+	Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study	2024	Niklas Mannhardt Elizabeth Bondi Barbara C.C. Lam Chloe O'Connell Mercy Asiedu Hussein Mozannar Monica Agrawal Alejandro Buendia Tatiana Urman Irbaz Bin Riaz
+	Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes	2023	Sharon Jiang Shannon Shen Monica Agrawal Barbara C.C. Lam Nicholas Kurtzman Steven Horng David R. Karger David Sontag
+	Use large language models to promote equity	2023	Emma Pierson Divya Shanmugam Rajiv Movva Jon Kleinberg Monica Agrawal Mark Dredze Kadija Ferryman Judy Wawira Gichoya Dan Jurafsky Pang Wei Koh
+	Co-training Improves Prompt-based Learning for Large Language Models	2022	Hunter Lang Monica Agrawal Yoon Kim David Sontag
+	Large Language Models are Few-Shot Clinical Information Extractors	2022	Monica Agrawal Stefan Hegselmann Hunter Lang Yoon Kim David Sontag
+	TabLLM: Few-shot Classification of Tabular Data with Large Language Models	2022	Stefan Hegselmann Alejandro Buendia Hunter Lang Monica Agrawal Xiaoyi Jiang David Sontag
+	Machine Learning for Health symposium 2022 -- Extended Abstract track	2022	Antonio Parziale Monica Agrawal Shalmali Joshi Irene Y. Chen Shengpu Tang Luis Oala Adarsh Subbaswamy
+ PDF Chat	Large language models are few-shot clinical information extractors	2022	Monica Agrawal Stefan Hegselmann Hunter Lang Yoon Kim David Sontag
+	Leveraging Time Irreversibility with Order-Contrastive Pre-training.	2021	Monica Agrawal Hunter Lang Michael Offin Lior Gazit David Sontag
+	MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records	2021	Luke Murray Divya Gopinath Monica Agrawal Steven Horng David Sontag David R. Karger
+	Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative	2021	Ariel Levy Monica Agrawal Arvind Satyanarayan David Sontag
+	Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative.	2021	Ariel Levy Monica Agrawal Arvind Satyanarayan David Sontag
+	Leveraging Time Irreversibility with Order-Contrastive Pre-training	2021	Monica Agrawal Hunter Lang Michael Offin Lior Gazit David Sontag
+	Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative	2021	Ariel Levy Monica Agrawal Arvind Satyanarayan David Sontag
+	Robust Benchmarking for Machine Learning of Clinical Entity Extraction	2020	Monica Agrawal Chloe O'Connell Yasmin Fatemi Ariel Levy David Sontag
+	PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming	2020	Alexander K. Lew Monica Agrawal David Sontag Vikash K. Mansinghka
+	Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research	2020	Benjamin Birnbaum Nathan C. Nussbaum Katharina Seidl-Rathkopf Monica Agrawal Melissa Estévez Evan Estola Joshua Haimson Lucy He Peter J. Larson Paul G. Richardson
+	Fast, Structured Clinical Documentation via Contextual Autocomplete	2020	Divya Gopinath Monica Agrawal Luke Murray Steven Horng David R. Karger David Sontag
+	Robust Benchmarking for Machine Learning of Clinical Entity Extraction	2020	Monica Agrawal Chloe O’Connell Yasmin Fatemi Ariel Levy David Sontag
+	PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming	2020	Alexander K. Lew Monica Agrawal David Sontag Vikash K. Mansinghka
+ PDF Chat	Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph	2019	Irene Y. Chen Monica Agrawal Steven Horng David Sontag
+	Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph	2019	Irene Y. Chen Monica Agrawal Steven Horng David Sontag
+	Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph	2019	Irene Y. Chen Monica Agrawal Steven Horng David Sontag
+	TIFTI: A Framework for Extracting Drug Intervals from Longitudinal Clinic Notes.	2018	Monica Agrawal Griffin Adams Nathan C. Nussbaum Benjamin Birnbaum
+ PDF Chat	Modeling polypharmacy side effects with graph convolutional networks	2018	Marinka Žitnik Monica Agrawal Jure Leskovec
+ PDF Chat	Modeling Polypharmacy Side Effects with Graph Convolutional Networks	2018	Marinka Žitnik Monica Agrawal Jure Leskovec
+	TIFTI: A Framework for Extracting Drug Intervals from Longitudinal Clinic Notes	2018	Monica Agrawal Griffin Adams Nathan C. Nussbaum Benjamin Birnbaum
+	Large-scale analysis of disease pathways in the human interactome	2017	Monica Agrawal Marinka Žitnik Jure Leskovec
+	Large-scale analysis of disease pathways in the human interactome	2017	Monica Agrawal Marinka Žitnik Jure Leskovec
+	Large-Scale Analysis of Disease Pathways in the Human Interactome	2017	Monica Agrawal Marinka Žitnik Jure Leskovec
+	Large-scale analysis of disease pathways in the human interactome	2017	Monica Agrawal Marinka Žitnik Jure Leskovec

Common Coauthors

Coauthor	Papers Together
David Sontag	21
Marinka Žitnik	7
Hunter Lang	6
Jure Leskovec	6
Steven Horng	6
Irene Y. Chen	5
Stefan Hegselmann	4
Arvind Satyanarayan	3
Ariel Levy	3
Nathan C. Nussbaum	3
Yoon Kim	3
Benjamin Birnbaum	3
David R. Karger	3
Marzyeh Ghassemi	3
Emma Pierson	3
Griffin Adams	2
Hussein Mozannar	2
Lior Gazit	2
Barbara C.C. Lam	2
Luke Murray	2
Divya Gopinath	2
Michael Offin	2
Xiaoyi Jiang	2
Alejandro Buendia	2
Rajiv Movva	2
Yasmin Fatemi	2
Divya Shanmugam	2
Vikash K. Mansinghka	2
Alexander K. Lew	2
Ariel Levy	2
Chloe O'Connell	2
Michael Oberst	1
Ziad Obermeyer	1
Jason Fries	1
Michael Wornow	1
Vladislav Lialin	1
Jon Kleinberg	1
Mark Dredze	1
Brett K. Beaulieu‐Jones	1
Parisa Rashidi	1
Lucy He	1
Vincent Jeanselme	1
Paul G. Richardson	1
Tristan Naumann	1
Antonio Parziale	1
Rafał Kocielnik	1
Kristen W. Yeom	1
Milos Vukadinovic	1
Gamze Gürsoy	1
Berk Ustun	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing	2019	Mark E Neumann Daniel King Iz Beltagy Waleed Ammar	4
+	COLLECTIVE PAIRWISE CLASSIFICATION FOR MULTI-WAY ANALYSIS OF DISEASE AND DRUG DATA	2015	Marinka Žitnik Blaž Zupan	3
+	Complex Embeddings for Simple Link Prediction	2016	Théo Trouillon Johannes Welbl Sebastian Riedel Éric Gaussier Guillaume Bouchard	2
+	The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems	2020	Mahsan Nourani Joanie King Eric D. Ragan	2
+ PDF Chat	Tensors for Data Mining and Data Fusion	2016	Evangelos E. Papalexakis Christos Faloutsos Nicholas D. Sidiropoulos	2
+	A Three-Way Model for Collective Learning on Multi-Relational Data	2011	Maximilian Nickel Volker Tresp Hans‐Peter Kriegel	2
+	Distributed Representations of Words and Phrases and their Compositionality	2013	Tomáš Mikolov Ilya Sutskever Kai Chen Greg S. Corrado Jeffrey Dean	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+	Jumping across biomedical contexts using compressive data fusion	2016	Marinka Žitnik Blaž Zupan	2
+	Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making	2020	Harini Suresh Natalie Lao Ilaria Liccardi	2
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+ PDF Chat	SANTA: Quantifying the Functional Content of Molecular Networks	2014	Alex J. Cornish Florian Markowetz	2
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	2
+ PDF Chat	Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making	2020	Yunfeng Zhang Q. Vera Liao Rachel Bellamy	2
+ PDF Chat	Data Fusion by Matrix Factorization	2014	Marinka Žitnik Blaž Zupan	2
+ PDF Chat	Proxy tasks and subjective measures can be misleading in evaluating explainable AI systems	2020	Zana Buçinca Phoebe Lin Krzysztof Z. Gajos Elena L. Glassman	2
+	Modularity and community structure in networks	2006	M. E. J. Newman	2
+	ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission	2019	Kexin Huang Jaan Altosaar Rajesh Ranganath	2
+	YEDDA: A Lightweight Collaborative Text Span Annotation Tool	2018	Jie Yang Yue Zhang Linwei Li Xingxuan Li	2
+ PDF Chat	Biological network comparison using graphlet degree distribution	2007	Nataša Pržulj	1
+ PDF Chat	Design and Implementation of Probabilistic Programming Language Anglican	2016	David Tolpin Jan-Willem van de Meent Hongseok Yang Frank Wood	1
+ PDF Chat	Bayesian State-Space Modelling on High-Performance Hardware Using<b>LibBi</b>	2015	Lawrence M. Murray	1
+	Deep Learning for Identifying Metastatic Breast Cancer	2016	D. Wang Aditya Khosla Rishab Gargeya Humayun Irshad Andrew H. Beck	1
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	1
+	Enhancing clinical concept extraction with contextual embeddings	2019	Yuqi Si Jingqi Wang Hua Xu Kirk Roberts	1
+ PDF Chat	Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification	2016	Ishan Misra C. Lawrence Zitnick Martial Hebert	1
+	Causality: Models, Reasoning, and Inference	2001	Daniel Zelterman	1
+	Venture: a higher-order probabilistic programming platform with programmable inference	2014	Vikash K. Mansinghka Daniel Selsam Yura Perov	1
+ PDF Chat	<i>Stan</i>: A Probabilistic Programming Language	2017	Bob Carpenter Andrew Gelman Matthew D. Hoffman Daniel C. Lee Ben Goodrich Michael Betancourt Marcus A. Brubaker Jiqiang Guo Peter Li Allen Riddell	1
+	Modeling Relational Data with Graph Convolutional Networks	2018	Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling	1
+	Bayesian Data Cleaning for Web Data	2012	Yuheng Hu Sushovan De Yi Chen Subbarao Kambhampati	1
+	A Theoretical Analysis of Contrastive Unsupervised Representation Learning	2019	Sanjeev Arora Hrishikesh Khandeparkar Mikhail Khodak Orestis Plevrakis Nikunj Saunshi	1
+	Entity-Relation Extraction as Multi-Turn Question Answering	2019	Xiaoya Li Fan Yin Zijun Sun Xiayu Li Arianna Yuan Duo Chai Mingxin Zhou Jiwei Li	1
+ PDF Chat	Neural Architectures for Named Entity Recognition	2016	Guillaume Lample Miguel Ballesteros Sandeep Subramanian Kazuya Kawakami Chris Dyer	1
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	1
+	BayesDB: A probabilistic programming system for querying the probable implications of data	2015	Vikash K. Mansinghka Richard Tibbetts Jay Baxter Patrick Shafto Baxter Eaves	1
+ PDF Chat	Unsupervised Learning of Spatiotemporally Coherent Metrics	2015	Ross Goroshin Joan Bruna Jonathan Tompson David Eigen Yann LeCun	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+	End-to-End Neural Entity Linking	2018	Nikolaos Kolitsas Octavian-Eugen Ganea Thomas Hofmann	1
+ PDF Chat	BioBERT: a pre-trained biomedical language representation model for biomedical text mining	2019	Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang	1
+	Publicly Available Clinical BERT Embeddings	2019	Emily Alsentzer John R. Murphy Willie Boag Wei‐Hung Weng Di Jin Tristan Naumann Matthew B. A. McDermott	1
+ PDF Chat	Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes	2019	Qian Yang Aaron Steinfeld John Zimmerman	1
+ PDF Chat	A Bayesian approach to discovering truth from conflicting sources for data integration	2012	Bo Zhao Benjamin I. P. Rubinstein Jim Gemmell Jiawei Han	1
+	Opportunities in Machine Learning for Healthcare.	2018	Marzyeh Ghassemi Tristan Naumann Peter Schulam Andrew L. Beam Rajesh Ranganath	1
+	Construction of the Literature Graph in Semantic Scholar	2018	Waleed Ammar Dirk Groeneveld Chandra Bhagavatula Iz Beltagy Miles Crawford Doug Downey Jason Dunkelberger Ahmed Elgohary Sergey Feldman Vu Ha	1
+	NLTK: The Natural Language Toolkit	2002	Edward Loper Steven Bird	1
+	Nonparametric Estimation from Incomplete Observations	1992	Edward L. Kaplan Paul Meier	1
+	Deep Contextualized Word Representations	2018	Matthew E. Peters Mark E Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer	1
+	Inferring Multidimensional Rates of Aging from Cross-Sectional Data	2018	Emma Pierson Pang Wei Koh Tatsunori Hashimoto Daphne Koller Jure Leskovec Nicholas Eriksson Percy Liang	1
+ PDF Chat	Snorkel	2017	Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Fries Sen Wu Christopher Ré	1