Paper Contents
Abstract
In the current decade heart disease is most common for all from 14-60 years of age. Now a days heart disease having many types of constraint to predict the information like hyper tension, Blood pressure increase, Blockage of Nervous system. So that the percentage of blockage must identify which surgery is good for the health of patient. In this paper we are trying to find the better method to predict and we also used algorithms for prediction. We use various algorithms for the prediction of blockage of nerves like Nave Bayes; algorithm is analyzed on dataset based on hazard factors. Here we also try to use decision trees and grouping of algorithms for the calculation of heart disease based on the features. The results shown the comparison of various four algorithms of data mining which compare their accuracy of the result which one is better through graph.
Copyright
Copyright © 2023 Nandan Kishor. This is an open access article distributed under the Creative Commons Attribution License.
