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 tested on...

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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://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931278/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931278/?tool=EBI

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