A STUDY ON MACHINE LEARNING TECHNIQUES USED FOR HEART DISEASE PREDICTION: A CRITICAL ANALYSIS

Among various diseases one of the hazardous that takes uncountable lives every year is heart disease. In todays world, it believed person dies from disease minute. By WHO report number deaths take place due to 1.75 million, with expected rise 75 million by 2030. As a result, an accurate and fast prognosis critical necessity for lowering disease-related death rates. The Angiography easiest effective clinical test but has drawback expensive in cost many side effects. So, order deal this difficult issue, significant role shown ICT. Machine learning emerging technology performs automation previous available data shows promising results, subset artificial intelligence. work different literatures related machine techniques used those are critically analyzed review them summarized systematic manner.