A comparison of approaches to improve worst-case predictive model performance over patient subpopulations

A comparison of approaches to improve worst-case predictive model performance over patient subpopulations

<jats:title>Abstract</jats:title><jats:p>Predictive models for clinical outcomes that are accurate on average in a patient population may underperform drastically for some subpopulations, potentially introducing or reinforcing inequities in care access and quality. Model training a...

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Bibliographic Details
Main Authors: Pfohl, Stephen R, Zhang, Haoran, Xu, Yizhe, Foryciarz, Agata, Ghassemi, Marzyeh, Shah, Nigam H
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2022
Online Access:https://hdl.handle.net/1721.1/143724

Internet

https://hdl.handle.net/1721.1/143724

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