Identification of COVID-19 Clinical Phenotypes by Principal Component Analysis-Based Cluster Analysis

Background: COVID-19 has been quickly spreading, making it a serious public health threat. It is important to identify phenotypes to predict the severity of disease and design an individualized treatment. Methods: We collected data from 213 COVID-19 patients in Wuhan Pulmonary Hospital from January...

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Detalles Bibliográficos
Autores principales: Ye, Wenjing, Lu, Weiwei, Tang, Yanping, Chen, Guoxi, Li, Xiaopan, Ji, Chen, Hou, Min, Zeng, Guangwang, Lan, Xing, Wang, Yaling, Deng, Xiaoqin, Cai, Yuyang, Huang, Hai, Yang, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690648/
https://www.ncbi.nlm.nih.gov/pubmed/33282887
http://dx.doi.org/10.3389/fmed.2020.570614

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690648/
https://www.ncbi.nlm.nih.gov/pubmed/33282887
http://dx.doi.org/10.3389/fmed.2020.570614

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