• Dr. Swapan Debbarma

Analysis of doctors’ reports in Agartala 56% people is affected by liver disease. The problem with most liver diseases is that is asymptomatic in early stages and by the time they detected; 70-80% of the liver is already damaged. So that detection of this disease is now more important than cure. We find out these diseases occur by viral hepatitis virus (A to E) and contaminated iron particles present in water. Prediction of liver disease occurs by finding out how the virus and polluted particle affected the liver, which got by taking the blood sample. It followed by four liver tests sbd, sbt, sgot, sgpt and a urine test. In this paper, we take the medical data of all five tests from Agartala Government Medical College, Tripura and Physionet database system. This database helps for prediction of jaundice using fuzzy system and EMD algorithm. Automatic identification of IMFS generated by this algorithm, which shows to slow varying trend in the data and makes it an application for analysis of Jaundice disease. Innovation of this paper is successful prediction, implemented the whole system into ARTIX-7 FPGA and design RTL model for leading to a prototype design. It overcomes the particular range of consecutive maxima or minima for find out IMF and applicable to high frequency.

Empirical Mode Decomposition, Intrinsic Mode Function, FPGA, Artix-7

"Forecasting of Disease with an EMD-based FPGA ensemble Learning Paradigm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.154-157, April-2019, Available :http://www.jetir.org/papers/JETIR1904J18.pdf

"Forecasting of Disease with an EMD-based FPGA ensemble Learning Paradigm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp154-157, April-2019, Available at : http://www.jetir.org/papers/JETIR1904J18.pdf