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Development and verification of prediction models for preventing cardiovascular diseases.

Ji Min SungIn-Jeong ChoDavid SungSunhee KimHyeon Chang KimMyeong-Hun ChaeMaryam KavousiOscar L Rueda-OchoaMohammad Arfan IkramOscar H FrancoSeo Young Song
Published in: PloS one (2019)
The performance of the deep learning model for predicting CVD occurrences was better than that of the Cox regression model. In addition, it was confirmed that the known risk factors shown to be important by previous clinical studies were extracted from the study results using LRP.
Keyphrases
  • risk factors
  • deep learning
  • cardiovascular disease
  • artificial intelligence