Healthcare Solutions Extraction Based on ANN-GOA and TDES
Mamatha Balipa, S. G. Yashvanth, Sharan Prakash · 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS) · 2022
Nowadays, the online networking mechanism interacts with patients otherwise called clients, their close relations and curative experts so as to gather health-related data with the intention of sharing fruitful data on diagnosis of the disease, prescription, medicines and treatment to offer a helping hand to the clients with diverse ailments. With an eye on regaining the anchor site based on positioning, an innovative encryption based online social medicine recommendation system is envisaged. The user query is effectively explored in the MedHelp website. The contents in the website are retrieved together with responses and follows. In this regards the websites are assigned ranking by the Adaptive Artificial Neural Network (AANN) depending on the scores produced by the sentiwordnet. Further, in AANN, the weights are effectively optimized by Grasshopper Optimization Algorithm (GOA). Finally, the website with the maximum rank is encrypted with the help of the Triple Data Encryption Standard (TDES) algorithm for the safe recovery of the health-related content.