Your browser doesn't support javascript.
loading
Using machine learning to characterize heart failure across the scales.
Peirlinck, M; Sahli Costabal, F; Sack, K L; Choy, J S; Kassab, G S; Guccione, J M; De Beule, M; Segers, P; Kuhl, E.
Afiliação
  • Peirlinck M; Biofluid, Tissue and Solid Mechanics for Medical Applications (IBiTech, bioMMeda), Ghent University, Ghent, Belgium.
  • Sahli Costabal F; Department of Mechanical Engineering, Stanford University, Stanford, CA, USA.
  • Sack KL; Department of Human Biology, University of Cape Town, Cape Town, South Africa.
  • Choy JS; Department of Surgery, University of California at San Francisco, San Francisco, CA, USA.
  • Kassab GS; California Medical Innovations Institute, Inc., San Diego, CA, USA.
  • Guccione JM; California Medical Innovations Institute, Inc., San Diego, CA, USA.
  • De Beule M; Department of Surgery, University of California at San Francisco, San Francisco, CA, USA.
  • Segers P; Biofluid, Tissue and Solid Mechanics for Medical Applications (IBiTech, bioMMeda), Ghent University, Ghent, Belgium.
  • Kuhl E; Biofluid, Tissue and Solid Mechanics for Medical Applications (IBiTech, bioMMeda), Ghent University, Ghent, Belgium.
Biomech Model Mechanobiol ; 18(6): 1987-2001, 2019 Dec.
Article em En | MEDLINE | ID: mdl-31240511
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina / Insuficiência Cardíaca Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina / Insuficiência Cardíaca Idioma: En Ano de publicação: 2019 Tipo de documento: Article