Exploring the Clinical Characteristics of COVID-19 Clusters Identified Using Factor Analysis of Mixed Data-Based Cluster Analysis

Exploring the Clinical Characteristics of COVID-19 Clusters Identified Using Factor Analysis of Mixed Data-Based Cluster Analysis

The COVID-19 outbreak has brought great challenges to healthcare resources around the world. Patients with COVID-19 exhibit a broad spectrum of clinical characteristics. In this study, the Factor Analysis of Mixed Data (FAMD)-based cluster analysis was applied to demographic information, laboratory...

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Bibliographic Details
Main Authors: Liang Han, Pan Shen, Jiahui Yan, Yao Huang, Xin Ba, Weiji Lin, Hui Wang, Ying Huang, Kai Qin, Yu Wang, Zhe Chen, Shenghao Tu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Medicine
Subjects:
COVID-19
cluster analysis
factor analysis of mixed data
symptoms
laboratory findings
support vector machine
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.644724/full

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https://www.frontiersin.org/articles/10.3389/fmed.2021.644724/full

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