Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19.

Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19.

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We validate a deep learning model predicting comorbidities from frontal chest radiographs (CXRs) in patients with coronavirus disease 2019 (COVID-19) and compare the model's performance with hierarchical condition category (HCC) and mortality outcomes in COVID-19. The model was trained and test...

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Bibliographic Details
Main Authors: Ayis Pyrros, Jorge Rodriguez Fernandez, Stephen M Borstelmann, Adam Flanders, Daniel Wenzke, Eric Hart, Jeanne M Horowitz, Paul Nikolaidis, Melinda Willis, Andrew Chen, Patrick Cole, Nasir Siddiqui, Momin Muzaffar, Nadir Muzaffar, Jennifer McVean, Martha Menchaca, Aggelos K Katsaggelos, Sanmi Koyejo, William Galanter
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-08-01
Series:PLOS Digital Health
Online Access:https://doi.org/10.1371/journal.pdig.0000057

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https://doi.org/10.1371/journal.pdig.0000057

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