A Bio-Medical Snake Optimizer System Driven by Logarithmic Surviving Global Search for Optimizing Feature Selection and its application for Disorder Recognition

arXiv:2404.07216v1 Announce Type: cross
Abstract: It is of paramount importance to enhance medical practices, given how important it is to protect human life. Medical therapy can be accelerated by automating patient prediction using machine learning techniques. To double the efficiency of classifiers, several preprocessing strategies must be adopted for their crucial duty in this field. Feature selection (FS) is one tool that has been used frequently to modify data and enhance classification outcomes by lowering the dimensionality of datasets. Excluded …

abstract application arxiv bio cs.ai cs.cv eess.iv feature feature selection global human importance life machine machine learning machine learning techniques medical patient practices prediction protect recognition search snake therapy type