Learning From Past Respiratory Infections to Predict COVID-19 Outcomes: Retrospective Study

BACKGROUND: For the clinical care of patients with well-established diseases, randomized trials, literature, and research are supplemented with clinical judgment to understand disease prognosis and inform treatment choices. In the void created by a lack of clinical experience with COVID-19, artifici...

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Detalles Bibliográficos
Autores principales: Sang, Shengtian, Sun, Ran, Coquet, Jean, Carmichael, Harris, Seto, Tina, Hernandez-Boussard, Tina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901593/
https://www.ncbi.nlm.nih.gov/pubmed/33534724
http://dx.doi.org/10.2196/23026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901593/
https://www.ncbi.nlm.nih.gov/pubmed/33534724
http://dx.doi.org/10.2196/23026

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