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A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease.
Hughes, J Weston; Tooley, James; Torres Soto, Jessica; Ostropolets, Anna; Poterucha, Tim; Christensen, Matthew Kai; Yuan, Neal; Ehlert, Ben; Kaur, Dhamanpreet; Kang, Guson; Rogers, Albert; Narayan, Sanjiv; Elias, Pierre; Ouyang, David; Ashley, Euan; Zou, James; Perez, Marco V.
Afiliação
  • Hughes JW; Department of Computer Science, Stanford University, Palo Alto, CA, USA. jwhughes@stanford.edu.
  • Tooley J; Department of Medicine, Stanford University, Palo Alto, CA, USA.
  • Torres Soto J; Department of Biomedical Informatics, Stanford University, Palo Alto, CA, USA.
  • Ostropolets A; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.
  • Poterucha T; Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
  • Christensen MK; Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Yuan N; Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Ehlert B; Department of Biomedical Informatics, Stanford University, Palo Alto, CA, USA.
  • Kaur D; Department of Medicine, Stanford University, Palo Alto, CA, USA.
  • Kang G; Department of Medicine, Stanford University, Palo Alto, CA, USA.
  • Rogers A; Department of Medicine, Stanford University, Palo Alto, CA, USA.
  • Narayan S; Department of Medicine, Stanford University, Palo Alto, CA, USA.
  • Elias P; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.
  • Ouyang D; Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
  • Ashley E; Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Zou J; Department of Medicine, Stanford University, Palo Alto, CA, USA.
  • Perez MV; Department of Computer Science, Stanford University, Palo Alto, CA, USA.
NPJ Digit Med ; 6(1): 169, 2023 Sep 12.
Article em En | MEDLINE | ID: mdl-37700032
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 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: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article