:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
http://TuEngr.com
ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8
FEATURE PEER-REVIEWED ARTICLE
Vol.12(4) (2021) |
Rajkrishna Mondal, Pankaj Srivastava (Department of Mathematics, Motilal Nehru National Institute of Technology Allahabad, INDIA).
Disciplinary: Medicine and Health Research, Artificial Intelligence, Optimization, Bioinformatics.
doi: 10.14456/ITJEMAST.2021.64
Keywords: Chronic kidney disease; Decision making; Fuzzy expert system; Medical diagnosis; Soft computing; GFR, Kidney damage; Albumin in urine; Chronic Kidney Disease (CKD); Kidney test; Blood sugar; Blood pressure; Remote healthcare.
Paper ID: 12A4A
Cite this article:
Mondal, R., Srivastava, P. (2021). Design and Development of an Intelligent System to Assess Kidney Performances of Persons Suffering from Diabetes. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 12(4), 12A4A, 1-14. http://doi.org/10.14456/ITJEMAST.2021.64
References
Other issues:
Vol.12(2)(2021)
Vol.12(1)(2021)
Vol.11(16)(2020)
Vol.11(15)(2020)
Vol.11(14)(2020)
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