Hybrid Algorithm for predict heart disease
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2015, Vol 9, Issue 3
Abstract
A remarkable growth and heart disease and the effects of their duties and high costs on the community, has led to the medical community seeks to plans for further investigation, prevention, early detection and treatment to be effective. For the construction of the regulatory models of different techniques, such as the tree CART decision, k nearest neighbor and improved nearest neighbor was used by the algorithm birds. With an extension of the models and involve new parameters to more and more reliable results. By using the results of these models to predict the heart disease can be in various statistics and mortality decreased from heart disease.
Authors and Affiliations
Mitra Mohamadi *| Department of Computer Engineering, Malayer branch, Islamic Azad University, Malayer, Iran ; Email: mitramohamadi374@yahoo.com
Keywords
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