State-of-the-Art Artificial Intelligence Techniques in Heart Disease Diagnosis

Artificial intelligence (AI)-based techniques are gaining tremendous importance and popularity in designing medical diagnostic systems. In this context, various AI techniques like decision trees, Naive Bayes networks including various soft computing techniques like artificial neural networks (ANN), genetic algorithms, and fuzzy-logic-based systems have been predominantly applied in the diagnosis of heart diseases. This paper examines the recent advances in the research based on the application of some of the popular AI techniques in heart disease prediction. Along with each technique the main strengths, limitations, and future directions have been presented.