JCEEES

JCEEES aims to publish original articles covering the theoretical foundations of major computer, electronic and electrical engineering sciences, as well as academic, commercial and educational aspects that propose new ideas for the application and design of artificial intelligence, software and information systems. In addition to wide-ranging regular topics, JCEEES also makes it a principle to include special topics covering specific topics in all areas of interest mainly in computational medicine, artificial intelligence, computer science, and electrical & electronic engineering science.

Index
Original Article
Classification of heart disease dataset with k-NN optimized by pso and gwo algorithms
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.


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Volume 1, Issue 2, 2023
Page : 41-45
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