Affiliations: [a] Computer Science and Engineering, NIT Agartala, Jirania, Tripura, India
| [b] Computer Science and Engineering, Karpagam College of Engineering, Coimbatore, Tamil Nadu, India
| [c] Electrical Engineering, NIT Agartala, Jirania, Tripura, India
| [d] Electronics and Communication Engineering, NIT Agartala, Jirania, Tripura, India
Correspondence:
[*]
Corresponding author. Sambit Satpathy, Computer Science and Engineering, NIT Agartala, Jirania, Tripura, India.
E-mail: smbtpathy@gmail.com.
Abstract: 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.
Keywords: Fuzzy logic, medical diagnosis, association rule mining, Artix-7, FPGA
