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

J. S. Awati, Prof. S.S. Patil, Mahesh Kumbhar

International Journal of Electrical and Electronics Research · 2021 · 10 citations · 6 references

DOIFull text

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Concepts

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.

References

6