Identification of Suitable Drug Combinations for Treating COVID-19 Using a Novel Machine Learning Approach: The RAIN Method.

Kiaei, Aliakbar; Salari, Nader; Boush, Mahnaz; Mansouri, Kamran; Hosseinian-Far, Amin; Ghasemi, Hooman; Mohammadi, Masoud

Kiaei, Aliakbar; Salari, Nader; Boush, Mahnaz; Mansouri, Kamran; Hosseinian-Far, Amin; Ghasemi, Hooman; Mohammadi, Masoud.

Afiliação

Kiaei A; Department of Computer Engineering, Sharif University of Technology, Tehran 1136511155, Iran.
Salari N; Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran.
Boush M; Department of Industrial Engineering, Shahid Beheshti University of Medical Sciences, Tehran 1968917313, Iran.
Mansouri K; Medical Biology Research Centre, Kermanshah University of Medical Sciences, Kermanshah 6714415185, Iran.
Hosseinian-Far A; Department of Business Systems and Operations, University of Northampton, Northampton NN1 5PH, UK.
Ghasemi H; Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah 6734667149, Iran.
Mohammadi M; Cellular and Molecular Research Center, Gerash University of Medical Sciences, Gerash 7441758666, Iran.

Life (Basel) ; 12(9)2022 Sep 19.

Article em En | MEDLINE | ID: mdl-36143492

Palavras-chave

COVID-19; RAIN method; drugs combinations; machine learning; network meta-analysis; treatment of patients

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Systematic_reviews Idioma: En Revista: Life (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Irã

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