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Thalassemia risk prediction model using fuzzy inference systems: an application of fuzzy logic

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Author Affiliations

  • 1Department of Mathematics, National Institute of Technology, Raipur (CG) - 492010, India
  • 2Department of Mathematics, National Institute of Technology, Raipur (CG) - 492010, India

Res. J. Mathematical & Statistical Sci., Volume 5, Issue (7), Pages 1-8, July,12 (2017)

Abstract

Thalassemia Disease is a one of the most common genetic disease. The objective of this paper is to predict the stages of Thalassemia using Fuzzy Inference System. In this study, we have used the Mamdani type Fuzzy Inference System tool in MATLAB 8.4. Using the above tool, we have designed a mathematical model of Thalassemia disease and demonstrate that under certain fuzzy rules on the consider inputs shows the Thalassemia stage presence in an individual. Through the observed stages of Thalassemia, we have predicted the severity involve in this disease. The model is going to play a unique role in the prediction of the category of Thalassemia and helpful for medical fields.

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