Symptom Clustering Patterns and Population Characteristics of COVID-19 Based on Text Clustering Method

Symptom Clustering Patterns and Population Characteristics of COVID-19 Based on Text Clustering Method

BackgroundDescriptions of single clinical symptoms of coronavirus disease 2019 (COVID-19) have been widely reported. However, evidence of symptoms associations was still limited. We sought to explore the potential symptom clustering patterns and high-frequency symptom combinations of COVID-19 to enh...

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Bibliographic Details
Main Authors: Xiuwei Cheng, Hongli Wan, Heng Yuan, Lijun Zhou, Chongkun Xiao, Suling Mao, Zhirui Li, Fengmiao Hu, Chuan Yang, Wenhui Zhu, Jiushun Zhou, Tao Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Public Health
Subjects:
COVID-19
symptom clustering patterns
risk factor
time delay
epidemiology
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.795734/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.795734/full

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