A Hybrid Machine Learning Technique for Prediction of Heart Diseases

The heart is significant organ of human body part Heart disease describes a scope of conditions that influence your heart. Machine learning (ML) is the scientific study of algorithms and statistical models that PC systems use to play out a specific task without using unequivocal instructions, depending on patterns and deduction instead. There are various algorithms, which predict the heart disease. Accuracy is a key parameter to judge the algorithm. This paper proposed the hybrid algorithm based on na?ve bayes with random forest. Accuracy, classification error, F-measure, Recall and Precision parameters are calculated. 92% accuracy achieved by proposed hybrid algorithm.