Knowledge Acquisition for an Expert System for Diabetic

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.

[1]  P. M. Beulah Devamalar,et al.  The new telemedicine paradigm: fully automated real time web-centric expert system to support diabetes diagnosis , 2008 .

[2]  Stephan Grimm,et al.  Knowledge Representation and Ontologies , 2010, Scientific Data Mining and Knowledge Discovery.

[3]  Bayu Adhi Tama,et al.  An Early Detection Method of Type-2 Diabetes Mellitus in Public Hospital , 2011 .

[4]  Najwa K. Bakhsh,et al.  An Expert System of Determining Diabetes Treatment Based on Cloud Computing Platforms , 2011 .

[5]  Mike Lee,et al.  U-Health Expert System with Statistical Neural Network , 2009 .

[6]  Mario Garcia,et al.  Esdiabetes (an expert system in diabetes) , 2001 .

[7]  Galina Setlak,et al.  A concept of building an intelligent system to support diabets diagnostics , 2011 .

[8]  P. Tang,et al.  Medical Computer Applications in Health Care and Biomedicine , 2002 .

[9]  Sanjeev Kumar Jha,et al.  Development of knowledge Base Expert System for Natural treatment of Diabetes disease , 2012, ArXiv.

[10]  Nathaniel Clark,et al.  Diabetes in Older Adults: A Consensus Report , 2012, Journal of the American Geriatrics Society.

[11]  HuiQing Yang,et al.  A PHP-CLIPS Based Intelligent System for Diabetic Self-Diagnosis , 2008, IC-AI.

[12]  Pornpit Wongthongtham,et al.  Development of patient-practitioner assistive communications (PPAC) ontology for type 2 diabetes management , 2012 .

[13]  Abdel-Badeeh M. Salem,et al.  A Rule-Based Expert System for Diagnosis of Heart Diseases , 2001, Egypt. Comput. Sci. J..

[14]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .