JCEEES
Journal of Computer & Electrical and Electronics Engineering Sciences

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Original Article
Classification of heart disease dataset with k-NN optimized by pso and gwo algorithms
Abstract
Lifestyle changes worldwide are increasing chronic diseases (CD). This research concluded that cardiovascular diseases (CVDs) cause 46% of global mortality, excluding communicable diseases and accidents, and heart attacks are 7.4 million of the 17.5 million CVD deaths. 2030 will see 22.2 million cardiovascular deaths. Avoiding and treating most HD reduces cardiovascular disease fatalities. In this study, the data set for heart disease is optimized with PSO and GWO, and classification is performed with k-NN.

Keywords : PSO, GWO, k-NN

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Article available in :
Volume 1, Issue 2, 2023
Page : 41-45
https://doi.org/10.51271/JCEEES-0009
Article Information
Received : 12 Ağu 2023
Accepted : 06 Eki 2023
Published : 31 Eki 2023
Corresponding Author :

Nuri Alper Metin: Department of Electronics and Communications,Vocational School of Kırıkkale, Kırıkkale University, Kırıkkale, TURKEY

[email protected]
Citation : Lüy M, Metin NA. Classification of heart disease dataset with k-NN optimized by pso and gwo algorithms. J Comp Electr Electron Eng Sci. 2023;1(2):41-45.

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