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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| Hlavní autoři: | , , , , , , , , , , , , , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science (PLoS)
2022-08-01
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| Edice: | PLOS Digital Health |
| On-line přístup: | https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0000057&type=printable |
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