Predicting Mortality in Hospitalized COVID-19 Patients in Zambia: An Application of Machine Learning.

Mulenga, Clyde; Kaonga, Patrick; Hamoonga, Raymond; Mazaba, Mazyanga Lucy; Chabala, Freeman; Musonda, Patrick

Mulenga, Clyde; Kaonga, Patrick; Hamoonga, Raymond; Mazaba, Mazyanga Lucy; Chabala, Freeman; Musonda, Patrick.

Afiliação

Mulenga C; Department of Epidemiology and Biostatistics, University of Zambia, Lusaka, Zambia.
Kaonga P; Institute of Basic and Biomedical Sciences, Levy Mwanawasa Medical University, Lusaka, Zambia.
Hamoonga R; Department of Epidemiology and Biostatistics, University of Zambia, Lusaka, Zambia.
Mazaba ML; The Health Press, Zambia National Public Health Institute, Lusaka, Zambia.
Chabala F; Communication Information and Research, Zambia National Public Health Institute, Lusaka, Zambia.
Musonda P; Institute of Basic and Biomedical Sciences, Levy Mwanawasa Medical University, Lusaka, Zambia.

Glob Health Epidemiol Genom ; 2023: 8921220, 2023.

Article em En | MEDLINE | ID: mdl-37260675

Assuntos

COVID-19; Humanos; Zâmbia/epidemiologia; Teorema de Bayes; Benchmarking; Aprendizado de Máquina

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Africa Idioma: En Revista: Glob Health Epidemiol Genom Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Zâmbia

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