Automatic and interpretable prediction of the site of origin in outflow tract ventricular arrhythmias: machine learning integrating electrocardiograms and clinical data

  1. Bocanegra-Pérez, Á.J.
  2. Piella, G.
  3. Sebastian, R.
  4. Jimenez-Perez, G.
  5. Falasconi, G.
  6. Saglietto, A.
  7. Soto-Iglesias, D.
  8. Berruezo, A.
  9. Penela, D.
  10. Camara, O.
Journal:
Frontiers in Cardiovascular Medicine

ISSN: 2297-055X

Year of publication: 2024

Volume: 11

Type: Article

DOI: 10.3389/FCVM.2024.1353096 GOOGLE SCHOLAR lock_openOpen access editor HANDLE: https://hdl.handle.net/10550/99164
RODERIC. Repositorio Institucional de la Universitat de Valéncia: lock_openOpen access Handle

Sustainable development goals

info

SDG classification obtained using Aurora SDG artificial intelligence model.

Data source: Scopus