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Diet Recommendation for Diabetic Patients Using MCDM Approach

  • Kirti Sharawat
  • Sanjay Kumar Dubey
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)

Abstract

In today’s fast and developing world, as everyone is growing at a very rapid speed, there are also various severe diseases that are growing around. We see in our surrounding that people are affected by various harmful diseases. There are various diseases whose vaccination is not even discovered by scientists. Diabetes is a disease which is found in a large number of people who can be child, youth, and male or female, anyone. This is a very harmful disease which just doubles the risk of early death of a person’s life. So, its prevention and cure is very must. As it is caused due to high content of sugar in blood, therefore in this disease, it is recommended by doctors to give a proper diet to a diabetic patient. So, in this paper we aim to find out which type of food or diet is good for a diabetic patient. For this purpose, we use AHP method to find out the best diet for a diabetic patient. In this diet, quality is judged on the basis of various qualifying factors which must be considered for preparing the diet of a diabetic patient. The result is also validated by using fuzzy topsis method.

Keywords

Diabetes AHP Fuzzy Topsis Health carbs 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringAmity University Uttar PradeshNoidaIndia

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