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Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy (HCM-VAr-Risk Model).
Bhattacharya, Moumita; Lu, Dai-Yin; Kudchadkar, Shibani M; Greenland, Gabriela Villarreal; Lingamaneni, Prasanth; Corona-Villalobos, Celia P; Guan, Yufan; Marine, Joseph E; Olgin, Jeffrey E; Zimmerman, Stefan; Abraham, Theodore P; Shatkay, Hagit; Abraham, Maria Roselle.
Afiliação
  • Bhattacharya M; Department of Computer and Information Sciences, Computational Biomedicine Lab, University of Delaware, Newark, Delaware.
  • Lu DY; Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland; Division of Cardiology, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Public Health, National Yang-Ming University, Taipei, Taiwan.
  • Kudchadkar SM; Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland.
  • Greenland GV; Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland; Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California San Francisco, San Francisco, California.
  • Lingamaneni P; Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland.
  • Corona-Villalobos CP; Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland; Department of Radiology, Johns Hopkins University, Baltimore, Maryland.
  • Guan Y; Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland.
  • Marine JE; Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland.
  • Olgin JE; Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California San Francisco, San Francisco, California.
  • Zimmerman S; Department of Radiology, Johns Hopkins University, Baltimore, Maryland.
  • Abraham TP; Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland; Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California San Francisco, San Francisco, California.
  • Shatkay H; Department of Computer and Information Sciences, Computational Biomedicine Lab, University of Delaware, Newark, Delaware; Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland. Electronic address: shatkay@udel.edu.
  • Abraham MR; Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland; Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California San Francisco, San Francisco, California. Electronic address: Roselle.Abraham@ucsf.edu.
Am J Cardiol ; 123(10): 1681-1689, 2019 05 15.
Article em En | MEDLINE | ID: mdl-30952382
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistema de Registros / Taquicardia Ventricular / Medição de Risco / Registros Eletrônicos de Saúde / Aprendizado de Máquina Tipo de estudo: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistema de Registros / Taquicardia Ventricular / Medição de Risco / Registros Eletrônicos de Saúde / Aprendizado de Máquina Tipo de estudo: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article