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Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry.
Rios, Richard; Miller, Robert J H; Manral, Nipun; Sharir, Tali; Einstein, Andrew J; Fish, Mathews B; Ruddy, Terrence D; Kaufmann, Philipp A; Sinusas, Albert J; Miller, Edward J; Bateman, Timothy M; Dorbala, Sharmila; Di Carli, Marcelo; Van Kriekinge, Serge D; Kavanagh, Paul B; Parekh, Tejas; Liang, Joanna X; Dey, Damini; Berman, Daniel S; Slomka, Piotr J.
Afiliación
  • Rios R; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Universidad Nacional de Colombia, Sede de La Paz, GAUNAL, La Paz, Colombia.
  • Miller RJH; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada.
  • Manral N; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Sharir T; Department of Nuclear Cardiology, Assuta Medical Center, Tel Aviv, Israel; Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheba, Israel.
  • Einstein AJ; Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, NY, USA; Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, NY, USA.
  • Fish MB; Department of Nuclear Medicine, Oregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, OR, USA.
  • Ruddy TD; Division of Cardiology, University of Ottawa Heart Institute, Ottawa, ON, Canada.
  • Kaufmann PA; Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland.
  • Sinusas AJ; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT, USA.
  • Miller EJ; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT, USA.
  • Bateman TM; Cardiovascular Imaging Technologies LLC, Kansas City, MO, USA.
  • Dorbala S; Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
  • Di Carli M; Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
  • Van Kriekinge SD; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Kavanagh PB; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Parekh T; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Liang JX; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Dey D; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Berman DS; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Slomka PJ; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Electronic address: piotr.slomka@cshs.org.
Comput Biol Med ; 145: 105449, 2022 06.
Article en En | MEDLINE | ID: mdl-35381453

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen de Perfusión Miocárdica Tipo de estudio: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2022 Tipo del documento: Article País de afiliación: Colombia Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen de Perfusión Miocárdica Tipo de estudio: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2022 Tipo del documento: Article País de afiliación: Colombia Pais de publicación: Estados Unidos