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Phenomapping of patients with heart failure with preserved ejection fraction using machine learning-based unsupervised cluster analysis.
Segar, Matthew W; Patel, Kershaw V; Ayers, Colby; Basit, Mujeeb; Tang, W H Wilson; Willett, Duwayne; Berry, Jarett; Grodin, Justin L; Pandey, Ambarish.
Afiliación
  • Segar MW; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Patel KV; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Ayers C; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Basit M; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Tang WHW; Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH, USA.
  • Willett D; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Berry J; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Grodin JL; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Pandey A; Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Eur J Heart Fail ; 22(1): 148-158, 2020 01.
Article en En | MEDLINE | ID: mdl-31637815
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Insuficiencia Cardíaca Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur J Heart Fail Asunto de la revista: CARDIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Insuficiencia Cardíaca Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur J Heart Fail Asunto de la revista: CARDIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos