A Framework for Prediction of Response to HCV Therapy Using Different Data Mining Techniques

Algorithm 1

The pseudocode of finding the best model for predicting patients’ response to HCV treatment.

(1)  For each candidate features subset

(2) For each DM technique

(3)   For   to

(4)  Select random data set for building classifier

(5)  Apply selected DM technique

(6)  Evaluate the performance of the created Models

(7)   Next  

(8)  Get the highest performance model for the applied technique with candidate features subset among the created models

(9) Next DM technique

(10) Next candidate features subset

(11) Get the highest performance model for each technique

  (classifier associated with features subset which used in building this classifier)

(12) Compare the highest model among the different techniques

(13) Select the highest performance model for HCV treatment prediction among all techniques