Your browser doesn't support javascript.
loading
Author Correction: Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data.
Seto, Hiroe; Oyama, Asuka; Kitora, Shuji; Toki, Hiroshi; Yamamoto, Ryohei; Kotoku, Jun'ichi; Haga, Akihiro; Shinzawa, Maki; Yamakawa, Miyae; Fukui, Sakiko; Moriyama, Toshiki.
Afiliação
  • Seto H; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.
  • Oyama A; Graduate School of Human Sciences, Osaka University, Osaka, 565-0871, Japan.
  • Kitora S; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan. ooyama@hacc.osaka-u.ac.jp.
  • Toki H; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.
  • Yamamoto R; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.
  • Kotoku J; Research Center for Nuclear Physics, Osaka University, Osaka, 567-0047, Japan.
  • Haga A; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.
  • Shinzawa M; Department of Nephrology, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan.
  • Yamakawa M; Health Promotion and Regulation, Department of Health Promotion Medicine, Osaka University Graduate School of Medicine, Osaka, 565-0871, Japan.
  • Fukui S; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.
  • Moriyama T; Graduate School of Medical Care and Technology, Teikyo University, Tokyo, 173-8605, Japan.
Sci Rep ; 12(1): 22599, 2022 Dec 30.
Article em En | MEDLINE | ID: mdl-36585468
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Temas: ECOS / Financiamentos_gastos Bases de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Temas: ECOS / Financiamentos_gastos Bases de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão