Early prediction of diabetes by applying data mining techniques: A retrospective cohort study.

Al Yousef, Mohammed Zeyad; Yasky, Adel Fouad; Al Shammari, Riyad; Ferwana, Mazen S

Al Yousef, Mohammed Zeyad; Yasky, Adel Fouad; Al Shammari, Riyad; Ferwana, Mazen S.

Afiliação

Al Yousef MZ; Family Medicine, King Abdulaziz Medical City, King Abdullah International Medical Research Center, Riyadh, Kingdom of Saudi Arabia.
Yasky AF; Family Medicine, King Abdulaziz Medical City, King Abdullah International Medical Research Center, Riyadh, Kingdom of Saudi Arabia.
Al Shammari R; Department of Health Informatics, College of Public Health and Health Informatics, King Saud bin Abdul-Aziz University for Health Sciences, Riyadh, Saudi Arabia.
Ferwana MS; Centre of Excellence in Health Informatics, Riyadh, Saudi Arabia.

Medicine (Baltimore) ; 101(29): e29588, 2022 Jul 22.

Article em En | MEDLINE | ID: mdl-35866773

Assuntos

Diabetes Mellitus; Teorema de Bayes; Mineração de Dados; Diabetes Mellitus/diagnóstico; Diabetes Mellitus/epidemiologia; Humanos; Prevalência; Estudos Retrospectivos; Arábia Saudita/epidemiologia

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Medicine (Baltimore) Ano de publicação: 2022 Tipo de documento: Article

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