Learning to recommend descriptive tags for health seekers using deep learning

Health plays an important role for human happiness and well being. Automatic disease prediction is important to overcome the issues of health seekers. Generally people use Google to search their queries and that search engine respond them with the answer but that answer is in scattered format. User not gets exact answer for his / her queries. So we are going to implement this paper. Here we propose a novel deep learning scheme to infer the disease according to questions of health seekers. In this work we first analyze and categorize needs of health seekers and ask for manifested symptoms for disease prediction. Then user will search for their query. Then the query get processed to give prediction of disease to the user or health seekers. Here concept of hidden layers is get used. First medical signatures mines from raw features. These features and signatures deems as input node in one layer and hidden nodes in subsequent layer. This paper presents idea of deep learning architecture which is used in health care domain for the diagnosis of diseases.