Deep‐learning artificial intelligence analysis of clinical variables predicts mortality in COVID‐19 patients

OBJECTIVE: The large number of clinical variables associated with coronavirus disease 2019 (COVID‐19) infection makes it challenging for frontline physicians to effectively triage COVID‐19 patients during the pandemic. This study aimed to develop an efficient deep‐learning artificial intelligence al...

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Detalles Bibliográficos
Autores principales: Zhu, Jocelyn S, Ge, Peilin, Jiang, Chunguo, Zhang, Yong, Li, Xiaoran, Zhao, Zirun, Zhang, Liming, Duong, Tim Q.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Infectious Disease
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405082/
https://www.ncbi.nlm.nih.gov/pubmed/32838390
http://dx.doi.org/10.1002/emp2.12205

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405082/
https://www.ncbi.nlm.nih.gov/pubmed/32838390
http://dx.doi.org/10.1002/emp2.12205

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