Nomogram-based prediction model for survival of COVID-19 patients: A clinical study

The study aim to construct an effective model for predicting the survival period of COVID-19 patients. Methods: Clinical data of 386 COVID-19 patients were collected from December 2022 to January 2023. The patients were randomly divided into training and validation cohorts in a 7:3 ratio. LASSO regr...

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Detalles Bibliográficos
Autores principales: Xu, Jinxin, Zhang, Wenshan, Cai, Yingjie, Lin, Jingping, Yan, Chun, Bai, Meirong, Cao, Yunpeng, Ke, Sunkui, Liu, Yali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559916/
https://www.ncbi.nlm.nih.gov/pubmed/37809383
http://dx.doi.org/10.1016/j.heliyon.2023.e20137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559916/
https://www.ncbi.nlm.nih.gov/pubmed/37809383
http://dx.doi.org/10.1016/j.heliyon.2023.e20137

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