Comparison of machine learning algorithms to predict intentional and unintentional poisoning risk factors.

Veisani, Yousef; Sayyadi, Hojjat; Sahebi, Ali; Moradi, Ghobad; Mohamadian, Fathola; Delpisheh, Ali

Veisani, Yousef; Sayyadi, Hojjat; Sahebi, Ali; Moradi, Ghobad; Mohamadian, Fathola; Delpisheh, Ali.

Afiliação

Veisani Y; Psychosocial Injuries Research Center, Ilam University of Medical Sciences, Ilam, Iran.
Sayyadi H; Non-Communicable Diseases Research Center, Ilam University of Medical Sciences, Ilam, Iran.
Sahebi A; Non-Communicable Diseases Research Center, Ilam University of Medical Sciences, Ilam, Iran.
Moradi G; Department of Epidemiology and Biostatistics, School of Medicine, Social Determinants of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Iran.
Mohamadian F; Department of Psychology, Psychosocial Injuries Research Center, Ilam University of Medical Sciences, Ilam, Iran.
Delpisheh A; Department of Epidemiology, Faculty of Health, Safety Promotion and Injury Prevention Research Centre Shahid Beheshti University of Medical Sciences Tehran, Iran.

Heliyon ; 9(6): e17337, 2023 Jun.

Article em En | MEDLINE | ID: mdl-37416637

Palavras-chave

GBT; Intentional poisoning; Machine learning; Unintentional poisoning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Heliyon Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Irã País de publicação: Reino Unido

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