Artificial Intelligence-Enabled Blockchain Technology and Digital Twin for Smart Hospitals

12A PSO-Based Hybrid Cardiovascular Disease Prediction for Using Artificial Flora Algorithm

Ritu Aggarwal^1*, Gulbir Singh² and Eshaan Aggarwal³

¹Computer Science and Engineering, Seth Jai Parkash Mukand lal Institute of Engineering and Technology, Radaur, Haryana, India

²Department of Computer Science and Engineering, Graphic Era Hill University, Haldwani, Nainital, Uttarakhand, India

³Computer Science and Engineering (MMDU), Maharishi Markandeshwar Engineering College, Maharishi, Mullana, Haryana, India

Abstract

In the early stages, it is very critical to categorize medical information for cardiac patients inspired by the process of artificial flora algorithm which is used to solve complex problems for both linear and nonlinear optimization problems. This AFA can be used as an intelligent optimization algorithm. The first step is randomly selecting the sample for the cardiac effect patients after the attributes and relevant features are selected by computing the parameters of the disease affected. Finally, the results outcomes as in terms of accuracy as a selection function computed. The hybrid optimization algorithm is used to compute the accuracy and better results for artificial intelligence. This projected work, PSOAFA, is computed and implemented by selecting the relevant optimal features that can increase accuracy for disease prediction at early stages. The accuracy obtained by the proposed approach PSOAFA is 89.98 in terms of disease detection to check whether a person ...