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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Detalles Bibliográficos
Autores principales: Pyrros, Ayis, Rodriguez Fernandez, Jorge, Borstelmann, Stephen M., Flanders, Adam, Wenzke, Daniel, Hart, Eric, Horowitz, Jeanne M., Nikolaidis, Paul, Willis, Melinda, Chen, Andrew, Cole, Patrick, Siddiqui, Nasir, Muzaffar, Momin, Muzaffar, Nadir, McVean, Jennifer, Menchaca, Martha, Katsaggelos, Aggelos K., Koyejo, Sanmi, Galanter, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931278/
https://www.ncbi.nlm.nih.gov/pubmed/36812559
http://dx.doi.org/10.1371/journal.pdig.0000057

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931278/
https://www.ncbi.nlm.nih.gov/pubmed/36812559
http://dx.doi.org/10.1371/journal.pdig.0000057

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