Ontology Based Personalized Modeling for Type 2 Diabetes Risk Analysis: An Integrated Approach
A novel ontology based type 2 diabetes risk analysis system framework is described, which allows the creation of global knowledge representation (ontology) and personalized modeling for a decision support system. A computerized model focusing on organizing knowledge related to three chronic diseases and genes has been developed in an ontological representation that is able to identify interrelationships for the ontology-based personalized risk evaluation for chronic diseases. The personalized modeling is a process of model creation for a single person, based on their personal data and the information available in the ontology. A transductive neuro-fuzzy inference system with weighted data normalization is used to evaluate personalized risk for chronic disease. This approach aims to provide support for further discovery through the integration of the ontological representation to build an expert system in order to pinpoint genes of interest and relevant diet components.
Keywordsdisease ontology integrated approach personalized modeling diabetes
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- 5.Owens, A.: Semantic Storage: Overview and Assessment. Technical Report IRP Report 2005, Electronics and Computer Science, U of Southampton (2005)Google Scholar
- 6.Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American, May 17 (2001)Google Scholar
- 7.The FIELD Study Investigators, The need for a large-scale trial of fibrate therapy in diabetes: the rationale and design of the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study. ISRCTN64783481. Cardiovascular Diabetology 2004, 3, 9 (2004)Google Scholar
- 8.New Zealand Guidelines Group. Management of diabetes. New Zealand Guidelines Group, Wellington (2003(a)) (Retrived), http://www.nzgg.org.nz/guidelines/dsp_guideline_popup.cfm?guidelineID=36
- 15.Cornelis, M., Qi, L., et al.: Joint effects of common genetic variants on the risk of type-2 diabetes in U. S. men and woemen of European ancestry. Annals of Internal Medicine 150, 541–550 (2009)Google Scholar