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Predicting the development of adverse cardiac events in patients with hypertrophic cardiomyopathy using machine learning.
Kochav, Stephanie M; Raita, Yoshihiko; Fifer, Michael A; Takayama, Hiroo; Ginns, Jonathan; Maurer, Mathew S; Reilly, Muredach P; Hasegawa, Kohei; Shimada, Yuichi J.
Afiliação
  • Kochav SM; Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
  • Raita Y; Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Fifer MA; Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Takayama H; Division of Cardiothoracic Surgery, Department of Surgery, Columbia University Irving Medical Center, New York, NY, USA.
  • Ginns J; Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
  • Maurer MS; Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
  • Reilly MP; Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA; Irving Institute for Clinical and Translational Research, Columbia University Irving Medical Center, New York, NY, USA.
  • Hasegawa K; Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Shimada YJ; Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA. Electronic address: ys3053@cumc.columbia.edu.
Int J Cardiol ; 327: 117-124, 2021 03 15.
Article em En | MEDLINE | ID: mdl-33181159
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article