activity
20172026
most citedReading Race: AI Recognises Patient's Racial Identity In Medical Images

568 citations · 1.3k across the 79 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.LG2020★ 14 cited

Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data

David Bellamy, Leo Celi, Andrew L. Beam

The Large Scale Visual Recognition Challenge based on the well-known Imagenet dataset catalyzed an intense flurry of progress in computer vision. Benchmark tasks have propelled oth…

stat.AP2020★ 56 cited

Real-time Prediction of COVID-19 related Mortality using Electronic Health Records

Patrick Schwab, Arash Mehrjou, Sonali Parbhoo +5

Coronavirus Disease 2019 (COVID-19) is an emerging respiratory disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with rapid human-to-human transmis…

cs.LG2020★ 9 cited

Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation

Aaron Sonabend-W, Junwei Lu, Leo A. Celi +2

Offline Reinforcement Learning (RL) is a promising approach for learning optimal policies in environments where direct exploration is expensive or unfeasible. However, the adoption…

cs.CL2020

A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients

Edward T. Moseley, Joy T. Wu, Jonathan Welt +7

A crucial step within secondary analysis of electronic health records (EHRs) is to identify the patient cohort under investigation. While EHRs contain medical billing codes that ai…

cs.LG2020★ 12 cited

Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions

Omer Gottesman, Joseph Futoma, Yao Liu +4

Off-policy evaluation in reinforcement learning offers the chance of using observational data to improve future outcomes in domains such as healthcare and education, but safe deplo…

physics.med-ph2020★ 5 cited

Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study and Cross Validation

Xiaoli Liu, Pan Hu, Zhi Mao +10

Background: Elderly patients with MODS have high risk of death and poor prognosis. The performance of current scoring systems assessing the severity of MODS and its mortality remai…