Design a FPGA, fuzzy based, insolent method for prediction of multi-diseases in rural area
Sambit Satpathy, M. Prakash, Swapan Debbarma, Aditya Sankar Sengupta, Bidyut K. Bhattacaryya · Journal of Intelligent & Fuzzy Systems · 2019
Nowadays there are lots of fatal diseases are growing at a rapid rate. We consider about four primary diseases like jaundice, diabetes mellitus, yellow fever, and cholera. In this paper, we design a novel method with the help of fuzzy and FPGA system for prediction multiple diseases in a rural area. Association rule mining technique helps to define fuzzy rules, which implemented on both Spartan3-E and Artix-7 FPGA kit. Due to this implementation, it is easier to design a cost-effective and portable system for multi-disease prediction. The innovation lies in design a low power FPGA and meticulousness method for identification, prediction of four fatal diseases. The whole plan has tested on Xilinx and Cadence tool for generating RTL model and Layout design.