A novel early diagnostic framework for chronic diseases with class imbalance

HIGHLIGHTS

• who: Xiaohan Yuan from the SchoolChongqing University have published the article: A novel early diagnostic framework for chronic diseases with class imbalance, in the Journal: Scientific Reports Scientific Reports
• what: The authors propose an NLPNN algorithm to avoid the problem of over-fitting, which can efficiently capture high-level features hidden in chronic disease datasets and achieve high classification accuracy.. The authors evaluate and compare the proposed methods against other state-of-the-art methods using nine chronic diseases datasets (partly with class imbalance) and extensive experimental results demonstrate that the proposed two diagnostic models . . .
  

   

  

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