Machining learning predicts the need for escalated care and mortality in COVID-19 patients from clinical variables

Objective: This study aimed to develop a machine learning algorithm to identify key clinical measures to triage patients more effectively to general admission versus intensive care unit (ICU) admission and to predict mortality in COVID-19 pandemic. Materials and methods: This retrospective study con...

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Detalles Bibliográficos
Autores principales: Hou, Wei, Zhao, Zirun, Chen, Anne, Li, Haifang, Duong, Tim Q.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7976594/
https://www.ncbi.nlm.nih.gov/pubmed/33746590
http://dx.doi.org/10.7150/ijms.51235

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7976594/
https://www.ncbi.nlm.nih.gov/pubmed/33746590
http://dx.doi.org/10.7150/ijms.51235

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