Paper Details

Online healthcare is a web based system which satisfies health seeker needs by providing inference of therelated disease this reduces communication gap between health seeker and health advisor. In healthcare accurately andefficiently inferring diseases is nontrivial especially for community-based health services due to vocabulary gap,incomplete information, correlated medical concepts, and limited high quality training samples. It is also very importantto identify the discriminant features. Suppose more than one disease having some symptoms then to give the correctinference of which possible disease the health seeker may suffer from finding discriminant features is done usingsignature mining. Liqiang Nie, Bo Zhang, were proposed user study report on the information needs of health seekers interms of questions and then select those that ask for possible diseases of their manifested symptoms for further analytic.Next step proposed is a novel deep learning scheme to infer the possible diseases given the questions of health seekers.The proposed scheme is comprised of two key components. The first globally mines the discriminate medical signaturesfrom raw features. The second deems the raw features and their signatures as input nodes in one layer and hidden nodesin the subsequent layer, respectively. Meanwhile, it learns the inter-relations between these two layers via pre-trainingwith pseudo-labelled data. Following that, the hidden nodes serve as raw features for the more abstract semanticbootstrap approach. With incremental and alternative repeating of these two components. Our contribution is aproposed a question answer system for automatic disease inference. Tag have been generated from the user query to bematched with the dataset .System provides inference of having a particular disease based on tags. The proposed systemidentifies discriminant features for correct diagnosis of disease.

Omkar Tutare, Pulkit Srivastava, Prof. Sumit Harale, Nachiket Zadap, Shubham Mishra, “MEDI-Q&A: AN ONLINE MEDICAL SYSTEM BASED ON BOOTSTRAP APPROACH.”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 4, pp. 1469-1473, April 2018.