Proceedings of the International Conference on
Software, Knowledge, Information Management and Applications (SKIMA 2013)
Advanced Technology Solutions and Applications in Higher Education and Enterprises
 
(from Chapter 3: Intelligent Systems)

 Full Citation and Abstract

Title: Ontology construction for diabetes classification
  Author(s): Tahani Hussein Abu Musa, Sebti Foufou
  Address: Department of Business and Computer Science, Community College of Qatar, P.O. Box 7344, Doha, Qatar
Department of Computer Science and Engineering, College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar
tahani.abumusa @ ccq.edu.qa, sfoufou @ qu.edu.qa
  Reference: SKIMA 2013 Proceedings  pp. 106 - 115
  Abstract/
Summary
This paper describes the construction of an ontology to model the diabetes disease, as an attempt of applying ontologies in the biomedical domain. The disease (in terms of symptoms, complications, types and risk factors) is modeled and all the required information is captured. Given a scenario of a patient with specific symptoms, existing risk factors and lab results, through inference mechanisms the ontology will classify the type of diabetes the patient has; and suggest the needed treatment plan. This work also describes the methodology used to construct our ontology. A set of criteria, and metrics have been defined and applied to evaluate our ontology.
 
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