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Development and Validation of Machine Learning-Based Models to Predict In-Hospital Mortality in Life-Threatening Ventricular Arrhythmias: Retrospective Cohort Study.

Le LiLigang DingZhuxin ZhangLikun ZhouZhenhao ZhangYulong XiongZhao HuYan Yao
Published in: Journal of medical Internet research (2023)
ML-based models could improve the predictive values of in-hospital mortality prediction for patients with LTVA compared with traditional scoring systems.
Keyphrases
  • machine learning
  • heart failure
  • left ventricular
  • artificial intelligence
  • big data
  • congenital heart disease
  • deep learning
  • atrial fibrillation