Machine Learning-Based Decision Model to Distinguish Between COVID-19 and Influenza: A Retrospective, Two-Centered, Diagnostic Study.

Zhou, Xianlong; Wang, Zhichao; Li, Shaoping; Liu, Tanghai; Wang, Xiaolin; Xia, Jian; Zhao, Yan

Zhou, Xianlong; Wang, Zhichao; Li, Shaoping; Liu, Tanghai; Wang, Xiaolin; Xia, Jian; Zhao, Yan.

Afiliación

Zhou X; Emergency Center, Hubei Clinical Research Center for Emergency and Resuscitation, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, People's Republic of China.
Wang Z; Emergency Department, Wuhan No. 1 Hospital, Wuhan, Hubei, 430022, People's Republic of China.
Li S; Emergency Center, Hubei Clinical Research Center for Emergency and Resuscitation, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, People's Republic of China.
Liu T; Information Center, Wuhan No. 1 Hospital, Wuhan, Hubei, 430022, People's Republic of China.
Wang X; Gennlife (Beijing) Biotechnology Co. Ltd, Haidian, Beijing, 100080, People's Republic of China.
Xia J; Emergency Center, Hubei Clinical Research Center for Emergency and Resuscitation, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, People's Republic of China.
Zhao Y; Emergency Center, Hubei Clinical Research Center for Emergency and Resuscitation, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, People's Republic of China.

Risk Manag Healthc Policy ; 14: 595-604, 2021.

Article en En | MEDLINE | ID: mdl-33623450

Palabras clave

COVID-19; classification; diagnostic accuracy; influenza; machine learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Risk Manag Healthc Policy Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido

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