Analysis of Neural Networks Based Heart Disease Prediction System

Heart disease is one of the major reason for increase in the death rate. Healthcare is one amongst the most important beneficiaries of huge knowledge & analytics. Extracting medical data is progressively becoming more and more necessary for prediction and treatment of high death rate due to heart attack. Terabytes of data are produced every day. Quality services are needed to avoid poor clinical decisions that lead to disastrous consequences. The Hospitals can make use of appropriate decision support systems thus minimizing the cost of clinical tests. Now-a-day hospitals employ hospital information systems to manage the patient data. Enormous amount of data generated by health care industry is not effectively used. Some new approach is necessary to decrease the expense and to predict the heart disease in an easy. The objective of this paper is to analyze various research works done on heart diseases prediction and classification using various machine learning and deep learning techniques and to conclude which techniques are effective and accurate.