Clinical characteristics and a decision tree model to predict death outcome in severe COVID-19 patients

BACKGROUND: The novel coronavirus disease 2019 (COVID-19) spreads rapidly among people and causes a pandemic. It is of great clinical significance to identify COVID-19 patients with high risk of death. METHODS: A total of 2169 adult COVID-19 patients were enrolled from Wuhan, China, from February 10...

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Detalles Bibliográficos
Autores principales: Yang, Qiao, Li, Jixi, Zhang, Zhijia, Wu, Xiaocheng, Liao, Tongquan, Yu, Shiyong, You, Zaichun, Hou, Xianhua, Ye, Jun, Liu, Gang, Ma, Siyuan, Xie, Ganfeng, Zhou, Yi, Li, Mengxia, Wu, Meihui, Feng, Yimei, Wang, Weili, Li, Lufeng, Xie, Dongjing, Hu, Yunhui, Liu, Xi, Wang, Bin, Zhao, Songtao, Li, Li, Luo, Chunmei, Tang, Tang, Wu, Hongmei, Hu, Tianyu, Yang, Guangrong, Luo, Bangyu, Li, Lingchen, Yang, Xiu, Li, Qi, Xu, Zhi, Wu, Hao, Sun, Jianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351764/
https://www.ncbi.nlm.nih.gov/pubmed/34372767
http://dx.doi.org/10.1186/s12879-021-06478-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351764/
https://www.ncbi.nlm.nih.gov/pubmed/34372767
http://dx.doi.org/10.1186/s12879-021-06478-w

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