Journal
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Volume 37, Issue 5, Pages 7039-7046Publisher
IOS PRESS
DOI: 10.3233/JIFS-181577
Keywords
Fuzzy logic; medical diagnosis; association rule mining; Artix-7; FPGA
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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.
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