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Research Article |

Smart Heart Disease Detection using Particle Swarm Optimization and Support Vector Machine

Author(s): Dr. J. S. Awati*, Prof. S.S. Patil and Dr. M.S. Kumbhar

Published In : International Journal of Electrical and Electronics Research (IJEER)        volume 9, issue 4

Publisher : FOREX Publication

Published : 30 December 2021

e-ISSN : 2347-470X

Page(s) : 120-124

DOI: https://doi.org/10.37391/IJEER.090405

Abstract

Healthcare and disease detection in early stage is important in every human being. Proper and optimum detection of disease with smart controller is done using Particle swarm optimization (PSO) and Support Vector Machine (SVM). The research includes the Fuzzy Proportional Integral and Derivative (Fuzzy PID) controller was used with support vector machine to classify the heart disease. Particle Swarm Optimization is designed to remove the noise introduced in Electrocardiogram signal. Fuzzy PID controller was implemented for disease detection and prediction. Fuzzy PID controller provides most accurate and stable results.

Keywords: Finite Impulse Response, Fuzzy controller, PID, Support vector machine.




Dr. J. S. Awati*, ETC Department, Rajarambapu Institute of Technology, Maharashtra, India; Email: jayashree.awati@ritindia.edu

Prof. S.S. Patil, ETC Department, Rajarambapu Institute of Technology, Maharashtra, India

Dr. M.S. Kumbhar, ETC Department, Rajarambapu Institute of Technology, Maharashtra, India

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Dr. J. S. Awati, Prof. S.S. Patil and Dr. M.S. Kumbhar (2021), Smart Heart Disease Detection using Particle Swarm Optimization and Support Vector Machine. IJEER 9(4), 120-124. DOI: 10.37391/IJEER.090405.