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Using machine learning to predict cardiovascular risk using self-reported questionnaires: Findings from the 45 and Up Study.
Wang, Hongkuan; Tucker, William J; Jonnagaddala, Jitendra; Schutte, Aletta E; Jalaludin, Bin; Liaw, Siaw-Teng; Rye, Kerry-Anne; Wong, Raymond K; Ong, Kwok Leung.
Afiliação
  • Wang H; School of Computer Science & Engineering, University of New South Wales, Sydney, NSW, Australia.
  • Tucker WJ; School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia.
  • Jonnagaddala J; School of Population Health, University of New South Wales, Sydney, NSW, Australia.
  • Schutte AE; School of Population Health, University of New South Wales, Sydney, NSW, Australia; The George Institute for Global Health, Sydney, NSW, Australia.
  • Jalaludin B; School of Population Health, University of New South Wales, Sydney, NSW, Australia; Ingham Institute for Applied Medical Research, University of New South Wales, Sydney, Australia.
  • Liaw ST; WHO Collaborating Centre for eHealth, School of Population Health, University of New South Wales, Sydney, NSW, Australia.
  • Rye KA; School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia.
  • Wong RK; School of Computer Science & Engineering, University of New South Wales, Sydney, NSW, Australia. Electronic address: wong@cse.unsw.edu.au.
  • Ong KL; School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia; NHMRC Clinical Trials Centre, Medical Foundation Building, The University of Sydney, 92-94 Parramatta Road, Camperdown, NSW 2050, Australia. Electronic address: oklws@yahoo.com.hk.
Int J Cardiol ; 386: 149-156, 2023 09 01.
Article em En | MEDLINE | ID: mdl-37211050
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Isquemia Miocárdica Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Int J Cardiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Isquemia Miocárdica Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Int J Cardiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália