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Health Data-Driven Machine Learning Algorithms Applied to Risk Indicators Assessment for Chronic Kidney Disease.

Yen-Ling ChiuMao-Jhen JhouTian-Shyug LeeChi-Jie LuMing-Shu Chen
Published in: Risk management and healthcare policy (2021)
The five prediction model methods can provide high and similar classification performance in this study. Based on the results of this study, it is recommended that education as the socioeconomic status should be an important factor for CKD, as high educational level showed a negative and highly significant correlation with CKD. The findings of this study should also be of value for further discussions and follow-up research.
Keyphrases
  • machine learning
  • chronic kidney disease
  • deep learning
  • public health
  • risk assessment
  • health information
  • human health