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Heart diseases or the cardiovascular diseases are the main reasons for a large number of deaths in the world today. Heart disease affects the functioning of blood vessels and can cause coronary artery infections that in turn lead to weakening of patient’s body. Therefore, there is a need for reliable, accurate, and feasible system that can diagnose the heart disease on time so that the cardiac patient is given an efficient treatment before it leads to a severe complication, finally resulting in a heart attack. During the last many years, machine learning (ML) algorithms and techniques have been applied to various available heart disease datasets for automatic prediction, diagnosis, and treatment of the heart disease. This paper presents a thorough survey of various machine learning techniques and analyzes their performances which are used for efficient prediction, diagnosis, and treatment of various heart …