Identification of Risk Factors for COVID-19-related Death using Machine Learning Methods.

Bashirian, Saeid; Mohammadi-Khoshnoud, Maryam; Khazaei, Salman; Talebighane, Elham; Keramat, Fariba; Bahreini, Fatemeh; Zareeian, Sepideh; Soltanian, Ali Reza

Bashirian, Saeid; Mohammadi-Khoshnoud, Maryam; Khazaei, Salman; Talebighane, Elham; Keramat, Fariba; Bahreini, Fatemeh; Zareeian, Sepideh; Soltanian, Ali Reza.

Afiliação

Bashirian S; Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Mohammadi-Khoshnoud M; Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Khazaei S; Health Science Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Talebighane E; Hamadan University of Medical Sciences, Hamadan, Iran.
Keramat F; Department of Infectious Disease, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.
Bahreini F; Department of Molecular Medicine and Genetics, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.
Zareeian S; Hamadan University of Medical Sciences, Hamadan, Iran.
Soltanian AR; Modeling of Non-Communicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.

Tanaffos ; 21(1): 54-62, 2022 Jan.

Article em En | MEDLINE | ID: mdl-36258910

Palavras-chave

Data mining; Emerging disease; Mortality; Risk factors; SARS-CoV-2

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Tanaffos Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Irã País de publicação: Irã

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