Comprehensive Data Intergation-Toward a More Personalized Assessment of Diastolic Function

  • Authors
  • Loncaric F, Cikes M, Sitges M, Bijnens B
  • UPF authors
  • BIJNENS, BART H;
  • Type
  • Scholarly articles
  • Journal títle
  • Echocardiography
  • Publication year
  • 2020
  • Pages
  • 0-0
  • ISSN
  • 0742-2822
  • Publication State
  • Published
  • Abstract
  • Conclusion Complete data integration seems to be a long¿lasting goal, the way forward in diastology, and machine learning seems to be one of the tools suited for the challenge. With perpetual evidence that traditional approaches to complex problems may not the optimal solution, there is room for a steady and cautious, and inherently very exciting paradigm shift toward novel diagnostic tools and workflows to reach a more personalized, comprehensive, and integrated assessment of cardiac function.
  • Complete citation
  • Loncaric F, Cikes M, Sitges M, Bijnens B. Comprehensive Data Intergation-Toward a More Personalized Assessment of Diastolic Function. Echocardiography 2020; ( ).
Bibliometric indicators
  • 1 times cited Scopus
  • 1 times cited WOS
  • Índex Scimago de 0.404(2020)