Heart diseases prediction using WEKA

Abstract EN

Consequent to the life style and day by day heart diseases increasing and make people's life at risk.

Heart diseases becomes one of the most common diseases these days.

Though it become very necessary to search and try to find the simplest and best way to predicate diseases in advance though that could help survive the life of people.

This paper try to depend on a particular medical examination that could help predicate the heart diseases such as blood pressure, chest pain, cholesterol, blood sugar along to age and sex to find weather patient has disease or not and what is the best algorithm to use in order to get a good accuracy.

By using data mining technique and algorithm that available in WEKA 3.8.1(Waikato Environment for Knowledge Analysis) tool we are going to exam two algorithms; the decision tree J84 and Naïve Bayesian, then analyze and compare the result of both to find the most accurate one.

The prediction of heart diseases survivability has many challenging issues in several related fields.