A model to predict the risk of mortality in severely ill COVID-19 patients

BACKGROUND: To investigate and select the useful prognostic parameters to develop and validate a model to predict the mortality risk for severely and critically ill patients with the coronavirus disease 2019 (COVID-19). METHODS: We established a retrospective cohort of patients with laboratory-confi...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Bo, Gu, Hong-Qiu, Liu (刘艺), Yi, Zhang, Guqin, Yang, Hang, Hu, Huifang, Lu, Chenyang, Li, Yang, Wang, Liyi, Liu (刘毅), Yi, Zhao, Yi, Pan, Huaqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7983362/
https://www.ncbi.nlm.nih.gov/pubmed/33777331
http://dx.doi.org/10.1016/j.csbj.2021.03.012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7983362/
https://www.ncbi.nlm.nih.gov/pubmed/33777331
http://dx.doi.org/10.1016/j.csbj.2021.03.012

Ejemplares similares