A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms

Algorithm 2

Pseudocode for the mRMR algorithm.

	mRMR Algorithm
	Input: initial features, reduced features
	The initial feature is the number of features in original features set; reduced feature is the required number of features
	Output: selected features; // numbers of selected features
	For feature in initial features do
	Relevance = mutual info (, class);
	Redundancy = 0;
	For feature in initial feature do
	Redundancy ± mutual info (, );
	End For
	mrmrValue[] = relevance − redundancy;
	End For
	Selected features = sort (mrmrValues) take (reduced features);