Multidimensional dynamic prediction model for hospitalized patients with the omicron variant in China

PURPOSE: To establish dynamic prediction models by machine learning using daily multidimensional data for coronavirus disease 2019 (COVID-19) patients. METHODS: Hospitalized COVID-19 patients at Peking Union Medical College Hospital from Nov 2nd, 2022, to Jan 13th, 2023, were enrolled in this study....

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Yujie, Wang, Yao, Chen, Jieqing, Ma, Xudong, Su, Longxiang, Wei, Yuna, Li, Linfeng, Ma, Dandan, Zhang, Feng, Zhu, Wen, Meng, Xiaoyang, Sun, Guoqiang, Ma, Lian, Jiang, Huizhen, Yin, Chang, Li, Taisheng, Zhou, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579104/
https://www.ncbi.nlm.nih.gov/pubmed/37854788
http://dx.doi.org/10.1016/j.idm.2023.09.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579104/
https://www.ncbi.nlm.nih.gov/pubmed/37854788
http://dx.doi.org/10.1016/j.idm.2023.09.003

Ejemplares similares