IoT based Heart Disease Prediction using Higher Order Boltzmann Deep Belief Neural Network

Heart disease is considered as one of the major causes of death throughout the world. Heart problems cannot be easily predicted by the medical practitioners as it is a difficult task which demands expertise and higher knowledge for prediction. Several data mining techniques and artificial intelligence techniques are applied for heart disease prediction. But existing automatic systems for heart disease diagnosis are hampered by the need of big data. Therefore, here introduces an Internet of Things-based medical device for collecting heart details of patients and processed using Higher Order Boltzmann Deep Belief Neural Network (HOBDBNN).