Fuzzy Supervised Neural Training Algorithm for Varied Diabetes Recognition


  • Obi Jonathan Chukwuyeni UNIVERSITY OF BENIN




Supervised-Neural-Network, Fuzzy set, Fuzzy Logic, Algorithm


Diabetes is a metabolic disorder associated with Blood Glucose Level. Most of the approaches applied in diagnosis are subjective in nature at best and tied toward Type I and Type II diabetes recognition, with none geared toward form of diabetes recognition. Fuzzy Supervised Neural Network Training Algorithm has been designed and implemented with Matrix Laboratory (MATLAB) and Hypertext Preprocessor as the simulation language. This paper demonstrates the practical application of  algorithm techniques in medical diagnosis in determining patient’s status.


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How to Cite

Imianvan, A. A., & Chukwuyeni, O. J. (2014). Fuzzy Supervised Neural Training Algorithm for Varied Diabetes Recognition. British Journal of Healthcare and Medical Research, 1(5), 34–41. https://doi.org/10.14738/jbemi.15.403