The accuracy of machine learning approaches using non-image data for the prediction of COVID-19: A meta-analysis.

Kuo, Kuang-Ming; Talley, Paul C; Chang, Chao-Sheng

Kuo, Kuang-Ming; Talley, Paul C; Chang, Chao-Sheng.

Afiliación

Kuo KM; Department of Business Management, National United University, Miaoli, Taiwan, ROC. Electronic address: kuangmingkuo@gmail.com.
Talley PC; Department of Applied English, I-Shou University, Kaohsiung City, Taiwan, ROC. Electronic address: atlanta.ga@msa.hinet.net.
Chang CS; Department of Emergency Medicine, E-Da Hospital, Kaohsiung City, Taiwan, ROC. Electronic address: zincfinger522@yahoo.com.tw.

Int J Med Inform ; 164: 104791, 2022 08.

Article en En | MEDLINE | ID: mdl-35594810

Asunto(s)

COVID-19; COVID-19/diagnóstico; Humanos; Aprendizaje Automático; Curva ROC; Sensibilidad y Especificidad

Palabras clave

COVID-19; Diagnostic test accuracy; Machine learning approach; Meta-analysis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Int J Med Inform Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article Pais de publicación: Irlanda

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