activity
20182026
most citedMIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

255 citations · 286 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SE2026

Code Sharing In Prediction Model Research: A Scoping Review

Thomas Sounack, Raffaele Giancotti, Catherine A. Gao +8

Analytical code is essential for reproducing diagnostic and prognostic prediction model research, yet code availability in the published literature remains limited. While the TRIPO…

cs.LG2023★ 17 cited

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

Ming Ying Yang, Gloria Hyunjung Kwak, Tom Pollard +2

Social determinants of health (SDOH) -- the conditions in which people live, grow, and age -- play a crucial role in a person's health and well-being. There is a large, compelling…

cs.LG2023★ 1 cited

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

Yuxin Xiao, Shulammite Lim, Tom Joseph Pollard +1

Data sharing is crucial for open science and reproducible research, but the legal sharing of clinical data requires the removal of protected health information from electronic heal…

cs.CV2019★ 255 cited

MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Alistair E. W. Johnson, Tom J. Pollard, Nathaniel R. Greenbaum +7

Chest radiography is an extremely powerful imaging modality, allowing for a detailed inspection of a patient's thorax, but requiring specialized training for proper interpretation.…

cs.LG2018★ 11 cited

Generalizability of predictive models for intensive care unit patients

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

A large volume of research has considered the creation of predictive models for clinical data; however, much existing literature reports results using only a single source of data.…

cs.CY2018★ 2 cited

Visualizing Patient Timelines in the Intensive Care Unit

Dina Levy-Lambert, Jen J. Gong, Tristan Naumann +2

Electronic Health Records (EHRs) contain a large volume of heterogeneous patient data, which are useful at the point of care and for retrospective research. These data are typicall…