Machine Learning Meets Meta-Heuristics: Bald Eagle Search Optimization and Red Deer Optimization for Feature Selection in Type II Diabetes Diagnosis

This article investigates the effectiveness of feature extraction and selection techniques in enhancing the performance of classifier accuracy in Type II Diabetes Mellitus (DM) detection using microarray gene data. To address the inherent high dimensionality of the data, three feature extraction (FE...

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Bibliografiska uppgifter

Huvudupphov:	Dinesh Chellappan, Harikumar Rajaguru
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2024-07-01
Serie:	Bioengineering
Ämnen:	classifiers Bald Eagle Search Optimization Red Deer Optimization diabetes detection performance analysis feature extraction
Länkar:	https://www.mdpi.com/2306-5354/11/8/766
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