Heart Diseases Prediction Using WEKA

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.