Development and external validation of a prognostic tool for nonsevere COVID-19 inpatients

To develop a machine learning model and nomogram to predict the probability of persistent virus shedding (PVS) in hospitalized patients with coronavirus disease 2019 (COVID-19), the clinical symptoms and signs, laboratory parameters, cytokines, and immune cell data of 429 patients with nonsevere COV...

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Detalles Bibliográficos
Autores principales: Luo, Ensi, Zhong, Qingyang, Wen, Yongtao, Cai, Jie, Xie, Xia, Zhou, Lingjuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540186/
https://www.ncbi.nlm.nih.gov/pubmed/37202367
http://dx.doi.org/10.1017/S0950268823000717

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540186/
https://www.ncbi.nlm.nih.gov/pubmed/37202367
http://dx.doi.org/10.1017/S0950268823000717

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