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Neural Network-Based Coronary Heart Disease Risk Prediction Using Feature Correlation Analysis.

Jae Kwon KimSanggil Kang
Published in: Journal of healthcare engineering (2017)
The proposed NN-FCA, which utilizes feature correlation analysis, was found to be better than FRS in terms of CHD risk prediction. Furthermore, the proposed model resulted in a larger ROC curve and more accurate predictions of CHD risk in the Korean population than the FRS.
Keyphrases
  • neural network
  • machine learning
  • mass spectrometry