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ORCIDTom J. Pollard
Person information
- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
- affiliation: Harvard University, School of Public Health, Cambridge, MA, USA
- affiliation (former, PhD): University College London, London, UK
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2020 – today
- 2025
[i10]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:
BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP. CoRR abs/2506.10896 (2025)- [i9]Gyubok Lee, Elea Bach, Eric Yang, Tom J. Pollard, Alistair Johnson, Edward Choi, Yugang jia, Jong Ha Lee:
FHIR-AgentBench: Benchmarking LLM Agents for Realistic Interoperable EHR Question Answering. CoRR abs/2509.19319 (2025) - 2024
- [c9]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:
Conference on Health, Inference, and Learning (CHIL) 2024. CHIL 2024: 1-6 - [c8]Yeonsu Kwon, Jiho Kim, Gyubok Lee, Seongsu Bae, Daeun Kyung, Wonchul Cha, Tom J. Pollard, Alistair Johnson, Edward Choi:
EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records. NeurIPS 2024 - [e2]Tom J. Pollard, Edward Choi, Pankhuri Singhal, Michael Hughes, Elena Sizikova, Bobak Mortazavi, Irene Chen, Fei Wang, Tasmie Sarker, Matthew McDermott, Marzyeh Ghassemi:
Conference on Health, Inference, and Learning, New York, NY, USA, 27-28 June 2024. Proceedings of Machine Learning Research 248, PMLR 2024 [contents] - [i8]Yeonsu Kwon, Jiho Kim, Gyubok Lee, Seongsu Bae, Daeun Kyung
, Wonchul Cha, Tom J. Pollard, Alistair Johnson, Edward Choi:
EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records. CoRR abs/2406.16341 (2024) - 2023
- [c7]Ming-Ying Yang, Gloria Hyun-Jung Kwak, Tom J. Pollard, Leo Anthony Celi, Marzyeh Ghassemi:
Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit. AIES 2023: 333-350 - [c6]Yuxin Xiao, Shulammite Lim, Tom Joseph Pollard, Marzyeh Ghassemi:
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification. FAccT 2023: 123-137 - [i7]Yuxin Xiao, Shulammite Lim, Tom Joseph Pollard, Marzyeh Ghassemi:
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification. CoRR abs/2305.11348 (2023) - [i6]Ming-Ying Yang, Gloria Hyun-Jung Kwak, Tom J. Pollard, Leo Anthony Celi, Marzyeh Ghassemi:
Evaluating the Impact of Social Determinants on Health Prediction. CoRR abs/2305.12622 (2023) - 2022
- [c5]Gerardo Flores, George H. Chen, Tom J. Pollard, Ayah Zirikly, Michael C. Hughes, Tasmie Sarker, Joyce C. Ho, Tristan Naumann:
Conference on Health, Inference, and Learning (CHIL) 2022. CHIL 2022: 1-4 - [c4]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:
PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms. CinC 2022: 1-4 - [e1]Gerardo Flores, George H. Chen, Tom J. Pollard, Joyce C. Ho, Tristan Naumann:
Conference on Health, Inference, and Learning, CHIL 2022, 7-8 April 2022, Virtual Event. Proceedings of Machine Learning Research 174, PMLR 2022 [contents] - [i5]Gerardo Flores, George H. Chen, Tom J. Pollard, Joyce C. Ho, Tristan Naumann:
A collection of invited non-archival papers for the Conference on Health, Inference, and Learning (CHIL) 2022. CoRR abs/2205.02752 (2022) - 2021
- [j4]Po-Chih Kuo, Cheng Che Tsai, Diego M. López, Alexandros Karargyris, Tom J. Pollard, Alistair E. W. Johnson, Leo Anthony Celi:
Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph. npj Digit. Medicine 4 (2021) - 2020
- [j3]Trishan Panch, Tom J. Pollard, Heather Mattie, Emily Lindemer, Pearse A. Keane, Leo Anthony Celi:
"Yes, but will it work for my patients?" Driving clinically relevant research with benchmark datasets. npj Digit. Medicine 3 (2020) - [c3]Alistair E. W. Johnson, Lucas Bulgarelli, Tom J. Pollard:
Deidentification of free-text medical records using pre-trained bidirectional transformers. CHIL 2020: 214-221
2010 – 2019
- 2019
- [i4]Alistair E. W. Johnson, Tom J. Pollard, Seth J. Berkowitz, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Roger G. Mark, Steven Horng:
MIMIC-CXR: A large publicly available database of labeled chest radiographs. CoRR abs/1901.07042 (2019) - 2018
- [j2]Alistair E. W. Johnson, David J. Stone, Leo A. Celi, Tom J. Pollard:
The MIMIC Code Repository: enabling reproducibility in critical care research. J. Am. Medical Informatics Assoc. 25(1): 32-39 (2018) - [i3]Dina Levy-Lambert, Jen J. Gong, Tristan Naumann, Tom J. Pollard, John V. Guttag:
Visualizing Patient Timelines in the Intensive Care Unit. CoRR abs/1806.00397 (2018) - [i2]Alistair E. W. Johnson, Tom J. Pollard, Tristan Naumann:
Generalizability of predictive models for intensive care unit patients. CoRR abs/1812.02275 (2018) - 2017
- [c2]Alistair E. W. Johnson, Tom J. Pollard, Leo A. Celi, Roger G. Mark:
Analyzing the eICU Collaborative Research Database. BCB 2017: 631 - [c1]Alistair E. W. Johnson, Tom J. Pollard, Roger G. Mark:
Reproducibility in critical care: a mortality prediction case study. MLHC 2017: 361-376 - 2016
- [j1]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:
Ten Simple Rules for Taking Advantage of Git and GitHub. PLoS Comput. Biol. 12(7) (2016) - [i1]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:
Software vs. data in the context of citation. PeerJ Prepr. 4: e2630 (2016)
Coauthor Index
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