An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study

BACKGROUND: Prioritizing patients in need of intensive care is necessary to reduce the mortality rate during the COVID-19 pandemic. Although several scoring methods have been introduced, many require laboratory or radiographic findings that are not always easily available. OBJECTIVE: The purpose of...

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Detalles Bibliográficos
Autores principales: Kim, Hyung-Jun, Han, Deokjae, Kim, Jeong-Han, Kim, Daehyun, Ha, Beomman, Seog, Woong, Lee, Yeon-Kyeng, Lim, Dosang, Hong, Sung Ok, Park, Mi-Jin, Heo, JoonNyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7655730/
https://www.ncbi.nlm.nih.gov/pubmed/33108316
http://dx.doi.org/10.2196/24225

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7655730/
https://www.ncbi.nlm.nih.gov/pubmed/33108316
http://dx.doi.org/10.2196/24225

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