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

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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Главные авторы:	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
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Public Library of Science (PLoS) 2022-08-01
Серии:	PLOS Digital Health
Online-ссылка:	https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0000057&type=printable
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