Analysis of Various Smart Healthcare Systems for Heart Disease Prediction

Heart disease must be predicted initial phases for curing the patients in efficient manner prior to a heart attack or occurrence of stroke. The medical tests are carried out, and wearable sensors are employed to recognize the cardiovascular diseases. As physicians make an attempt on diagnosing the patients in quick and accurate way, it is challenging to extract the significant risk issues for heart disease using medical tests electronically. The heart disease prediction has several stages comprised of data pre-processing, feature extraction, and classification. A numerous algorithms have been presented in the literature to predict the heart disease. The heart disease system can be merged with the IOT network for the smart health care.