Paper Contents
Abstract
Health disorders are on the rise due to inherited and lifestyle factors. In this regard, during the past few years, heart disease has been the main factor in the extinction of the human race. This project's goal is to use artificial neural networks and the swarm intelligence algorithm to forecast heart disease. An interdisciplinary study area that is still developing is swarm intelligence (SI). Swarm-based algorithms are a new class of population-based, nature-inspired algorithms that can provide quick, reliable, and affordable solutions to a variety of challenging issues. The three most popular intelligence algorithms are proposed in this project, which also performs well in terms of optimisation. Through the use of genetic, BEE, and BAT algorithms, this initiative seeks to forecast the development of heart disease by dividing patients into unhealthy and healthy groups. We used the well-known data sets to assess our novel classification methodology.
Copyright
Copyright © 2023 K.Karthik. This is an open access article distributed under the Creative Commons Attribution License.
