Machine learning models for predicting critical illness risk in hospitalized patients with COVID-19 pneumonia

BACKGROUND: To develop machine learning classifiers at admission for predicting which patients with coronavirus disease 2019 (COVID-19) who will progress to critical illness. METHODS: A total of 158 patients with laboratory-confirmed COVID-19 admitted to three designated hospitals between December 3...

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Detalles Bibliográficos
Autores principales: Liu, Qin, Pang, Baoguo, Li, Haijun, Zhang, Bin, Liu, Yumei, Lai, Lihua, Le, Wenjun, Li, Jianyu, Xia, Tingting, Zhang, Xiaoxian, Ou, Changxing, Ma, Jianjuan, Li, Shenghao, Guo, Xiumei, Zhang, Shuixing, Zhang, Qingling, Jiang, Min, Zeng, Qingsi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947498/
https://www.ncbi.nlm.nih.gov/pubmed/33717594
http://dx.doi.org/10.21037/jtd-20-2580

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947498/
https://www.ncbi.nlm.nih.gov/pubmed/33717594
http://dx.doi.org/10.21037/jtd-20-2580

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