Design a FPGA, fuzzy based, insolent method for prediction of multi-diseases in rural area

Author:

Satpathy Sambit1,Prakash M.2,Debbarma Swapan1,Sengupta Aditya S.3,Bhattacaryya Bidyut K.4

Affiliation:

1. Computer Science and Engineering, NIT Agartala, Jirania, Tripura, India

2. Computer Science and Engineering, Karpagam College of Engineering, Coimbatore, Tamil Nadu, India

3. Electrical Engineering, NIT Agartala, Jirania, Tripura, India

4. Electronics and Communication Engineering, NIT Agartala, Jirania, Tripura, India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference18 articles.

1. “Special Issue on Biomedical Big Data: Understanding, Learning and Applications,”;Zhu;IEEE Transactions on Big Data,2017

2. Jovic A. , Kukolja D. , Jozic K. and Horvat M. , “A web platform for analysis of multivariate heterogeneous biomedical time-series — A preliminary report,” 2016 International Conference on Systems, Signals and Image Processing (IWSSIP), Bratislava, 2016, pp. 1–4.

3. “Quantitative MRI Brain Studies in Mild Cognitive Impairment and Alzheimer’s disease: A Methodological Review,”;Leandrou;IEEE Reviews in Biomedical Engineering

4. “Ecg Signal Preprocessing And Svm Classifier Based Abnormality Detection In Remote Healthcare Applications,”;Venkatesan;IEEE Access

5. “Management of lipids in adults with diabetes mellitus and nephropathy and/or chronic kidney disease: Summary of joint guidance from the Association of British Clinical Diabetologists (ABCD) and the Renal Association (RA).”;Mark,;British Journal of Diabetes,2017

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