Improving medical diagnosis performance using hybrid feature selection via relieff and entropy based genetic search (RF-EGA) approach: application to breast cancer prediction

Title
Improving medical diagnosis performance using hybrid feature selection via relieff and entropy based genetic search (RF-EGA) approach: application to breast cancer prediction
Authors
Keywords
Feature selection, ReliefF ranking, Entropy based genetic algorithm, Classification, Breast cancer diagnosis
Publisher
Springer Nature
Online
2018-01-16
DOI
10.1007/s10586-018-1702-5

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