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Explainable machine learning using echocardiography to improve risk prediction in patients with chronic coronary syndrome.

Mitchel A MolenaarBerto Jorrit BoumaFolkert W AsselbergsNiels J VeroudenJasper L SelderSteven A J ChamuleauMark Johan Schuuring
Published in: European heart journal. Digital health (2024)
This study demonstrates that an explainable ML model using TTE and clinical data can accurately identify high-risk CCS patients, with a prognostic value superior to traditional risk scores.
Keyphrases
  • machine learning
  • big data
  • coronary artery disease
  • coronary artery
  • left ventricular
  • computed tomography
  • electronic health record
  • deep learning
  • atrial fibrillation