Soft-computing: An Objective Approach in Varied Diabetes Recognition

Authors

  • Obi Jonathan Chukwuyeni UNIVERSITY OF BENIN
  • A A Imianvan UNIVERSITY OF BENIN

DOI:

https://doi.org/10.14738/jbemi.15.402

Keywords:

Fuzzy Logic, Fuzzy Set, Fuzzy Linguistic variables Genetic Algorithm, Neural Network

Abstract

Diabetes is a chronic disorder caused by elevated glucose within the blood stream. The predominant indicator of diabetes include a glucose level of more 125mg/dl in addition to frequent thirst, unusual thirst, extreme fatigue blurred vision and frequent infection. Existing approach for the recognition of diabetes are to two classes (Type I and Type II) in addition to their subjective approach. This research paper proposed an objective approach utilizing soft-computing techniques for the recognition of five class of diabetes.

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Published

2014-11-04

How to Cite

Chukwuyeni, O. J., & Imianvan, A. A. (2014). Soft-computing: An Objective Approach in Varied Diabetes Recognition. Journal of Biomedical Engineering and Medical Imaging, 1(5), 23–33. https://doi.org/10.14738/jbemi.15.402