Open Access

ARTICLE

Effective and Efficient Ranking and Re-Ranking Feature Selector for Healthcare Analytics

by

1 K. L. N. College of Engineering, Madurai, India.
2 PSNA College of Engineering and Technology, Dindigul, India

* Corresponding Author: S. Ilangovan,

Intelligent Automation & Soft Computing 2020, 26(2), 261-268. https://doi.org/10.31209/2019.100000154

Abstract

In this work, a Novel Feature selection framework called SU embedded PSO Feature Selector has been proposed (SU-PSO) towards the selection of optimal feature subset for the improvement of detection performance of classifiers. The feature space ranking is done through the Symmetrical Uncertainty method. Further, memetic operators of PSO include features and remove features are used to choose relevant features and the best of best features are selected using PSO. The proposed feature selector efficiently removes not only irrelevant but also redundant features. Performance metric such as classification accuracy, subset of features selected and running time are used for comparison.

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Keywords

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