Heart disease prediction using machine learning algorithms

Abstract

Machine learning is the sub branch of artificial intelligence and it is making computers to learn from data without being explicitly programmed Heart disease prediction is used to determine the root cause of getting heart attack and the probability of getting a heart attack, group the people into different clusters based on getting heart attack or not There are five levels in heart attack from level 0 to level 4. There are 14 important attributes to be considered in analysis of heart attack namely age, BP, CHOL, gender, CP, CA, THAL.