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Automated Identification of Heart Failure with Reduced Ejection Fraction using Deep Learning-based Natural Language Processing.
Nargesi, Arash A; Adejumo, Philip; Dhingra, Lovedeep; Rosand, Benjamin; Hengartner, Astrid; Coppi, Andreas; Benigeri, Simon; Sen, Sounok; Ahmad, Tariq; Nadkarni, Girish N; Lin, Zhenqiu; Ahmad, Faraz S; Krumholz, Harlan M; Khera, Rohan.
Afiliación
  • Nargesi AA; Heart and Vascular Center, Brigham and Women's Hospital, Harvard School of Medicine, Boston, MA.
  • Adejumo P; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, CT.
  • Dhingra L; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, CT.
  • Rosand B; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, CT.
  • Hengartner A; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, CT.
  • Coppi A; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, CT.
  • Benigeri S; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, CT.
  • Sen S; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, CT.
  • Ahmad T; Division of Cardiology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL.
  • Nadkarni GN; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, CT.
  • Lin Z; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, CT.
  • Ahmad FS; Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
  • Krumholz HM; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, CT.
  • Khera R; Division of Cardiology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL.
medRxiv ; 2023 Sep 11.
Article en En | MEDLINE | ID: mdl-37745445
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Marruecos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Marruecos