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Machine Learning Assessment of Left Ventricular Diastolic Function Based on Electrocardiographic Features.
Kagiyama, Nobuyuki; Piccirilli, Marco; Yanamala, Naveena; Shrestha, Sirish; Farjo, Peter D; Casaclang-Verzosa, Grace; Tarhuni, Wadea M; Nezarat, Negin; Budoff, Matthew J; Narula, Jagat; Sengupta, Partho P.
Afiliación
  • Kagiyama N; Division of Cardiology, Department of Medicine, West Virginia University Heart and Vascular Institute, Morgantown, West Virginia. Electronic address: https://twitter.com/KagiyamaNobu.
  • Piccirilli M; Division of Cardiology, Department of Medicine, West Virginia University Heart and Vascular Institute, Morgantown, West Virginia.
  • Yanamala N; Division of Cardiology, Department of Medicine, West Virginia University Heart and Vascular Institute, Morgantown, West Virginia; Institute for Software Research, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania.
  • Shrestha S; Division of Cardiology, Department of Medicine, West Virginia University Heart and Vascular Institute, Morgantown, West Virginia.
  • Farjo PD; Division of Cardiology, Department of Medicine, West Virginia University Heart and Vascular Institute, Morgantown, West Virginia.
  • Casaclang-Verzosa G; Division of Cardiology, Department of Medicine, West Virginia University Heart and Vascular Institute, Morgantown, West Virginia.
  • Tarhuni WM; Windsor Cardiac Centre, Windsor, Ontario, Canada.
  • Nezarat N; Lundquist Institute, Department of Medicine, Harbor-UCLA Medical Center, Torrance California.
  • Budoff MJ; Lundquist Institute, Department of Medicine, Harbor-UCLA Medical Center, Torrance California.
  • Narula J; Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
  • Sengupta PP; Division of Cardiology, Department of Medicine, West Virginia University Heart and Vascular Institute, Morgantown, West Virginia. Electronic address: partho.sengupta@wvumedicine.org.
J Am Coll Cardiol ; 76(8): 930-941, 2020 08 25.
Article en En | MEDLINE | ID: mdl-32819467
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Volumen Sistólico / Ecocardiografía / Aprendizaje Automático / Contracción Miocárdica Tipo de estudio: Clinical_trials / Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: J Am Coll Cardiol Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Volumen Sistólico / Ecocardiografía / Aprendizaje Automático / Contracción Miocárdica Tipo de estudio: Clinical_trials / Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: J Am Coll Cardiol Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos