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Machine learning-based risk model using 123I-metaiodobenzylguanidine to differentially predict modes of cardiac death in heart failure.

Kenichi NakajimaTomoaki NakataTakahiro DoiHayato TadaKoji Maruyama
Published in: Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology (2020)
A risk model based on machine learning using clinical variables and 123I-MIBG differentially predicted ArE and HFD as causes of cardiac death.
Keyphrases
  • machine learning
  • heart failure
  • left ventricular
  • artificial intelligence
  • high fat diet
  • big data
  • type diabetes
  • deep learning
  • atrial fibrillation
  • cardiac resynchronization therapy