Heart Disease Prediction System using Binary Particle Swarm Optimization Algorithm

Heart Disease Prediction System using Binary Particle Swarm Optimization Algorithm
Authors : Karamjeet Kaur, Gagandeep Kaur
Publication Date: 02-08-2016


Author(s):  Karamjeet Kaur, Gagandeep Kaur

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 5 - Issue. 08 , August - 2016

e-ISSN:   2278-0181

 DOI:  http://dx.doi.org/10.17577/IJERTV5IS080032


Diagnosing is the important task in medical field in order to find out the illness in the human system. It is an automatic process which scans the infected body part of human system and find out reason behind the sickness and disease. It is must that diagnosing system must generate accurate results so that proper treatment can be available for the patient. In earlier systems various techniques was used for predicting the reason behind the disease which lacks in accuracy of the output. To overcome this problem swarm intelligence was used, in proposed approach enhanced PSO is applied to get satisfactory results. Enhanced or advanced version of PSO is defined and named as BPSO i.e. Binary Particle Swarm Optimization. The proposed work divides proposed system in two parts such as performance model and prediction model. Performance model is designed to evaluate the overall performance of the application. Prediction Model is used to predict the condition of the patient after evaluation on the basis of various parameters like heart beat rate, blood pressure, cholesterol etc. The accuracy of the system is proved after simulation in Matlab.


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