Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID-19 patients: results from a retrospective cohort study

OBJECTIVES: To appraise effective predictors for COVID-19 mortality in a retrospective cohort study. METHODS: A total of 1270 COVID-19 patients, including 984 admitted in Sino French New City Branch (training and internal validation sets randomly split at 7:3 ratio) and 286 admitted in Optical Valle...

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Detalles Bibliográficos
Autores principales: Guan, Xin, Zhang, Bo, Fu, Ming, Li, Mengying, Yuan, Xu, Zhu, Yaowu, Peng, Jing, Guo, Huan, Lu, Yanjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7799376/
https://www.ncbi.nlm.nih.gov/pubmed/33410720
http://dx.doi.org/10.1080/07853890.2020.1868564

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7799376/
https://www.ncbi.nlm.nih.gov/pubmed/33410720
http://dx.doi.org/10.1080/07853890.2020.1868564

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