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Comparison of risk models for mortality and cardiovascular events between machine learning and conventional logistic regression analysis.

Shinya SuzukiTakeshi YamashitaTsuyoshi SakamaTakuto AritaNaoharu YagiTakayuki OtsukaHiroaki SembaHiroto KanoShunsuke MatsunoYuko KatoTokuhisa UejimaYuji OikawaMinoru MatsuhamaJunji Yajima
Published in: PloS one (2019)
Here, we described our experience with the development of models for predicting cardiovascular prognosis by machine learning. Machine learning could identify risk predicting models with good predictive capability and good discrimination of the risk impact.
Keyphrases
  • machine learning
  • cardiovascular events
  • coronary artery disease
  • artificial intelligence
  • cardiovascular disease
  • deep learning
  • type diabetes