Analysis of Symptoms Wise Disease Inference System Using Data Mining Technique

Now a days challenges for medical community and public health issue are increases in rare diseases and this diseases were neglected for many years. Rare diseases affect a limited number of individuals but the number of disorders that fit this definition is very large. Most rare diseases are genetic disorders, which are often severely disabling, substantially affect life expectancy, and impair physical and mental abilities. These disabilities result in reduced quality of life. In proposed system, symptoms based disease discovery system which discovers diseases on the basis of deep learning algorithm. In our base paper, sparsely deep learning is used to infer the diseases as per the specified questions/symptoms. In sparse deep learning algorithm the author used only 3 hidden layers for processing. Our algorithm contains 5 hidden layers, therefore as compared to existing system, our system is more accurate. To implement disease inference system using deep learning algorithm. In case of any query system implement automatic question-answer system in which user will ask any question and system will process that question using data mining algorithms to find out proper answer. And also implement personalized disease prevention techniques recommendation system.