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Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study.

Xiang LiHaifeng LiuXin DuGang HuGuotong XiePing Zhang
Published in: MIE (2016)
Keyphrases
  • risk factors
  • case study
  • atrial fibrillation
  • risk assessment
  • risk management
  • statistical methods
  • databases
  • machine learning
  • feature extraction
  • software development