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Knowledge Acquisition for an Expert System for Diabetic

  • Ibrahim Mohamed Ahmed Ali
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 37)

Abstract

Diabetes is a serious health problem today. Most of the people are unaware that they are in risk of or may even have type-2 diabetes. Type-2 diabetes is becoming more common due to risk factors like older age, obesity, lack of exercise, family history of diabetes, heart diseases. Along with good lifestyle and healthy diet, reduces the risk of development of type 2 diabetes for treatment of elder people, proper care of diet, exercise and medication as well is more important. The research in developing intelligence knowledge base systems in diabetic domain is important for both health industry and diabetes patients. Recently expert systems technology provides an efficient tools for diagnosing diabetes and hence providing a sufficient treatment. The main challenge in building such systems is the knowledge acquisition and development of the knowledge base of these systems. Our research was motivated by the need of such an efficient tool. This paper presents the knowledge acquisition process for developing the knowledge base of diabetic type-2 diet.

Keywords

Expert systems Knowledge representation Diabetic diet Type 2 diabetes Rule-base 

CCS Concepts

Artificial intelligence Knowledge engineering 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Information Technology Department, Faculty of Computer and Information TechnologyKarray UniversityKhartoumSudan

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