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

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 1...

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Bibliographic Details
Main Authors: Wenjing Ye, Weiwei Lu, Yanping Tang, Guoxi Chen, Xiaopan Li, Chen Ji, Min Hou, Guangwang Zeng, Xing Lan, Yaling Wang, Xiaoqin Deng, Yuyang Cai, Hai Huang, Ling Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Medicine
Subjects:
COVID-19
phenotype
treatment
principal component analysis
cluster analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2020.570614/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2020.570614/full

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