Your browser doesn't support javascript.
loading
A Head-to Head Comparison of Machine Learning Algorithms for Identification of Implanted Cardiac Devices.
Chudow, Jay J; Jones, Davis; Weinreich, Michael; Zaremski, Lynn; Lee, Suegene; Weinreich, Brian; Krumerman, Andrew; Fisher, John D; Ferrick, Kevin J.
Afiliación
  • Chudow JJ; Division of Cardiology, Department of Medicine, Montefiore Medical Center, Bronx, New York.
  • Jones D; Division of Cardiology, Department of Medicine, Montefiore Medical Center, Bronx, New York.
  • Weinreich M; Division of Cardiology, Department of Medicine, Montefiore Medical Center, Bronx, New York.
  • Zaremski L; Division of Cardiology, Department of Medicine, Montefiore Medical Center, Bronx, New York.
  • Lee S; Division of Cardiology, Department of Medicine, Montefiore Medical Center, Bronx, New York.
  • Weinreich B; Division of Cardiology, Department of Medicine, Montefiore Medical Center, Bronx, New York.
  • Krumerman A; Division of Cardiology, Department of Medicine, Montefiore Medical Center, Bronx, New York.
  • Fisher JD; Division of Cardiology, Department of Medicine, Montefiore Medical Center, Bronx, New York.
  • Ferrick KJ; Division of Cardiology, Department of Medicine, Montefiore Medical Center, Bronx, New York. Electronic address: kferrick@montefiore.org.
Am J Cardiol ; 144: 77-82, 2021 04 01.
Article en En | MEDLINE | ID: mdl-33383004
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Marcapaso Artificial / Radiografía Torácica / Desfibriladores Implantables / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Marcapaso Artificial / Radiografía Torácica / Desfibriladores Implantables / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article