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

BACKGROUND: Descriptions 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 e...

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Detalles Bibliográficos
Autores principales: Cheng, Xiuwei, Wan, Hongli, Yuan, Heng, Zhou, Lijun, Xiao, Chongkun, Mao, Suling, Li, Zhirui, Hu, Fengmiao, Yang, Chuan, Zhu, Wenhui, Zhou, Jiushun, Zhang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854172/
https://www.ncbi.nlm.nih.gov/pubmed/35186839
http://dx.doi.org/10.3389/fpubh.2022.795734

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854172/
https://www.ncbi.nlm.nih.gov/pubmed/35186839
http://dx.doi.org/10.3389/fpubh.2022.795734

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