Performance comparison of machine learning approaches on hepatitis c prediction employing data mining techniques

HIGHLIGHTS

• who: Azadeh Alizargar and colleagues from the Department of Electrical Engineering, College of Electrical Engineering and Computer Science have published the paper: Performance Comparison of Machine Learning Approaches on Hepatitis C Prediction Employing Data Mining Techniques, in the Journal: Bioengineering 2023, 10, 481. of /2023/
• what: The aim of this study is to employ various machine learning to predict this disease based on common and affordable blood test to diagnose and treat patients in the early stages. By calculating Bioengineering 2023, x FOR PEER REVIEW the MAE for both training and testing datasets, the performance . . .
  

   

  

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