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Improving risk prediction in heart failure using machine learning.
Adler, Eric D; Voors, Adriaan A; Klein, Liviu; Macheret, Fima; Braun, Oscar O; Urey, Marcus A; Zhu, Wenhong; Sama, Iziah; Tadel, Matevz; Campagnari, Claudio; Greenberg, Barry; Yagil, Avi.
Afiliação
  • Adler ED; Division of Cardiology, Department of Medicine, UC San Diego, La Jolla, CA, USA.
  • Voors AA; University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Klein L; Division of Cardiology, Department of Medicine, UC San Francisco, San Francisco, CA, USA.
  • Macheret F; Altman Clinical and Translational Research Institute (ACTRI), UC San Diego, La Jolla, CA, USA.
  • Braun OO; Cardiology, Department of Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden.
  • Urey MA; Division of Cardiology, Department of Medicine, UC San Diego, La Jolla, CA, USA.
  • Zhu W; Altman Clinical and Translational Research Institute (ACTRI), UC San Diego, La Jolla, CA, USA.
  • Sama I; University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Tadel M; Physics Department, UC San Diego, La Jolla, CA, USA.
  • Campagnari C; Physics Department, UC Santa Barbara, Santa Barbara, CA, USA.
  • Greenberg B; Division of Cardiology, Department of Medicine, UC San Diego, La Jolla, CA, USA.
  • Yagil A; Division of Cardiology, Department of Medicine, UC San Diego, La Jolla, CA, USA.
Eur J Heart Fail ; 22(1): 139-147, 2020 01.
Article em En | MEDLINE | ID: mdl-31721391
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Insuficiência Cardíaca Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur J Heart Fail Assunto da revista: CARDIOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Insuficiência Cardíaca Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur J Heart Fail Assunto da revista: CARDIOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos