Prediction of type 2 diabetes using support vector machine with enhanced levy flight based Fruitfly optimization algorithm and feature selection approaches

Researchers have been leveraging various data analytics methods for Diabetes mellitus (DM) diagnosis, prognosis and management. The data analytics paradigm has become advanced and automated with the emergence of machine learning (ML) and deep learning (DL) algorithms. With new techniques, the predic...

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Vydáno v:	Yugoslav Journal of Operations Research Ročník 35; číslo 4; s. 895 - 918
Hlavní autoři:	Kumar, Ashok, Arputharaj, Vijay, Sathya, V., Kumar, Dalvin, Sundararajan, Shanmugam, Sivanantham, V., Kumar Pal, Sanjoy
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	University of Belgrade 01.01.2025
Témata:	adaptive neuro-fuzzy inference system diabetes mellitus prediction enhanced generalized lambda distribution independent component analysis enhanced inertia weight binary bat algorithm k-means algorithm
ISSN:	0354-0243, 1820-743X
On-line přístup:	Získat plný text
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