Tom J. Pollard

According to our database, Tom J. Pollard authored at least 22 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Code Sharing In Prediction Model Research: A Scoping Review.

Thomas Sounack, Raffaele Giancotti, Catherine A. Gao, Lasai Barreñada, Hyeonhoon Lee, Hyung-Chul Lee, Leo Anthony Celi, Karel G. M. Moons, Gary S. Collins, Charlotta Lindvall, Tom J. Pollard

CoRR, April, 2026

2025

FHIR-AgentBench: Benchmarking LLM Agents for Realistic Interoperable EHR Question Answering.

Gyubok Lee, Elea Bach, Eric Yang, Tom J. Pollard, Alistair Johnson, Edward Choi, Yugang jia, Jong Ha Lee

CoRR, September, 2025

BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP.

Thomas Sounack, Joshua Davis, Brigitte N. Durieux, Antoine Chaffin, Tom J. Pollard, Eric Lehman, Alistair E. W. Johnson, Matthew B. A. McDermott, Tristan Naumann, Charlotta Lindvall

CoRR, June, 2025

2024

EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records.

Yeonsu Kwon, Jiho Kim, Gyubok Lee, Seongsu Bae, Daeun Kyung, Wonchul Cha, Tom J. Pollard, Alistair Johnson, Edward Choi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Conference on Health, Inference, and Learning (CHIL) 2024.

Tom J. Pollard, Edward Choi, Pankhuri Singhal, Michael C. Hughes, Elena Sizikova, Bobak Mortazavi, Irene Y. Chen, Fei Wang, Tasmie Sarker, Matthew B. A. McDermott, Marzyeh Ghassemi

Proceedings of the Conference on Health, 2024

2023

Evaluating the Impact of Social Determinants on Health Prediction.

Ming-Ying Yang, Gloria Hyun-Jung Kwak, Tom J. Pollard, Leo Anthony Celi, Marzyeh Ghassemi

CoRR, 2023

In the Name of Fairness: Assessing the Bias in Clinical Record De-identification.

Yuxin Xiao, Shulammite Lim, Tom Joseph Pollard, Marzyeh Ghassemi

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit.

Ming-Ying Yang, Gloria Hyun-Jung Kwak, Tom J. Pollard, Leo Anthony Celi, Marzyeh Ghassemi

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

A collection of invited non-archival papers for the Conference on Health, Inference, and Learning (CHIL) 2022.

Gerardo Flores, George H. Chen, Tom J. Pollard, Joyce C. Ho, Tristan Naumann

CoRR, 2022

PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms.

Lucas McCullum, Hasan Saeed, Benjamin Moody, Diane Perry, Eric Gottlieb, Tom J. Pollard, Xavier Borrat Frigola, Qiao Li, Gari D. Clifford, Roger G. Mark, Li-Wei H. Lehman

Proceedings of the Computing in Cardiology, 2022

Conference on Health, Inference, and Learning (CHIL) 2022.

Gerardo Flores, George H. Chen, Tom J. Pollard, Ayah Zirikly, Michael C. Hughes, Tasmie Sarker, Joyce C. Ho, Tristan Naumann

Proceedings of the Conference on Health, Inference, and Learning, 2022

2021

Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph.

Po-Chih Kuo, Cheng Che Tsai, Diego M. López, Alexandros Karargyris, Tom J. Pollard, Alistair E. W. Johnson, Leo Anthony Celi

npj Digit. Medicine, 2021

2020

"Yes, but will it work for my patients?" Driving clinically relevant research with benchmark datasets.

Trishan Panch, Tom J. Pollard, Heather Mattie, Emily Lindemer, Pearse A. Keane, Leo Anthony Celi

npj Digit. Medicine, 2020

Deidentification of free-text medical records using pre-trained bidirectional transformers.

Alistair E. W. Johnson, Lucas Bulgarelli, Tom J. Pollard

Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019

MIMIC-CXR: A large publicly available database of labeled chest radiographs.

Alistair E. W. Johnson, Tom J. Pollard, Seth J. Berkowitz, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Roger G. Mark, Steven Horng

CoRR, 2019

2018

The MIMIC Code Repository: enabling reproducibility in critical care research.

Alistair E. W. Johnson, David J. Stone, Leo A. Celi, Tom J. Pollard

J. Am. Medical Informatics Assoc., 2018

Generalizability of predictive models for intensive care unit patients.

Alistair E. W. Johnson, Tom J. Pollard, Tristan Naumann

CoRR, 2018

Visualizing Patient Timelines in the Intensive Care Unit.

Dina Levy-Lambert, Jen J. Gong, Tristan Naumann, Tom J. Pollard, John V. Guttag

CoRR, 2018

2017

Reproducibility in critical care: a mortality prediction case study.

Alistair E. W. Johnson, Tom J. Pollard, Roger G. Mark

Proceedings of the Machine Learning for Healthcare Conference, 2017

Analyzing the eICU Collaborative Research Database.

Alistair E. W. Johnson, Tom J. Pollard, Leo A. Celi, Roger G. Mark

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016

Ten Simple Rules for Taking Advantage of Git and GitHub.

Yasset Pérez-Riverol, Laurent Gatto, Rui Wang, Timo Sachsenberg, Julian Uszkoreit, Felipe da Veiga Leprevost, Christian Fufezan, Tobias Ternent, Stephen J. Eglen, Daniel S. Katz, Tom J. Pollard, Alexander Konovalov, Robert M. Flight, Kai Blin, Juan Antonio Vizcaíno

PLoS Comput. Biol., 2016

Software vs. data in the context of citation.

Daniel S. Katz, Kyle E. Niemeyer, Arfon M. Smith, William L. Anderson, Carl Boettiger, Konrad Hinsen, Rob W. W. Hooft, Michael Hucka, Allen Lee, Frank Löffler, Tom J. Pollard, Fernando Rios

PeerJ Prepr., 2016