Review on Heart Disease Classification

Heart disease is the foremost cause of death. According to WHO, deaths due to heart disease account for 30% of the global deaths. The main challenge that medical practitioners face is the disease not being identified at an early stage as the traditional approaches are quite time-consuming. Machine learning algorithms can help to deal with the emerging challenges in heart disease classification. The proposed work presents a short review about heart disease classification problem, many classification techniques along with future research directions.