Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method

To predict the mortality of patients with coronavirus disease 2019 (COVID-19). We collected clinical data of COVID-19 patients between January 18 and March 29 2020 in Wuhan, China . Gradient boosting decision tree (GBDT), logistic regression (LR) model, and simplified LR were built to predict the mo...

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Detalles Bibliográficos
Autores principales: Li, Simin, Lin, Yulan, Zhu, Tong, Fan, Mengjie, Xu, Shicheng, Qiu, Weihao, Chen, Can, Li, Linfeng, Wang, Yao, Yan, Jun, Wong, Justin, Naing, Lin, Xu, Shabei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2021
Materias:
S.I. : Deep Social Computing
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7783503/
https://www.ncbi.nlm.nih.gov/pubmed/33424133
http://dx.doi.org/10.1007/s00521-020-05592-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7783503/
https://www.ncbi.nlm.nih.gov/pubmed/33424133
http://dx.doi.org/10.1007/s00521-020-05592-1

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