The Development and Validation of Simplified Machine Learning Algorithms to Predict Prognosis of Hospitalized Patients With COVID-19: Multicenter, Retrospective Study

BACKGROUND: The current COVID-19 pandemic is unprecedented; under resource-constrained settings, predictive algorithms can help to stratify disease severity, alerting physicians of high-risk patients; however, there are only few risk scores derived from a substantially large electronic health record...

Descripción completa

Detalles Bibliográficos
Autores principales: He, Fang, Page, John H, Weinberg, Kerry R, Mishra, Anirban
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785956/
https://www.ncbi.nlm.nih.gov/pubmed/34951865
http://dx.doi.org/10.2196/31549

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785956/
https://www.ncbi.nlm.nih.gov/pubmed/34951865
http://dx.doi.org/10.2196/31549

Ejemplares similares