Survival Prediction Model for Patients with Esophageal Squamous Cell Carcinoma Based on the Parameter-Optimized Deep Belief Network Using the Improved Archimedes Optimization Algorithm
Algorithm 1
Framework of MRMR.
Input:: original feature set
: the number of features contained in the original feature set .
: class label set
Output:: feature sorted set
1:
2: for =1:
3: The mutual information of each feature is calculated by Equation(1) and stored in the set.
4:
5:
6: end for
7: for =1: -1
8: The redundancy between and the rest of the features is calculated by Equation(2) and stored in the set.
9:
10:
11: end for
12: for:
13: The minimum redundancy and maximum relevancy of each feature is calculated by Equation(4) and sorted in the set.
