Abstract
A hybrid model, combining Bayesian network and a multicriteria method, is presented in order to assist with the decision making process about which questions would be more attractive to the definition of the diagnosis of Diabetes type 2. We have proposed the application of an expert system structured in probability rules and structured representations of knowledge in production rules and probabilities (Artificial Intelligence - AI). The importance of the early diagnosis associated with the appropriate treatment is to decrease the chance of developing the complications of diabetes, reducing the impact on our society. Diabetes is a group of metabolic diseases characterized by hyperglycemia resulting from defects in insulin secretion, insulin action, or both.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
American Diabetes Association, http://www.diabetes.org/
Bana e Costa, C.A., Ensslin, L., Correa, E.C., Vansnick, J.C.: Decision support systems in action: integrates application in a multicriteria decision aid process. European Journal of Operational Research 133, 315–335 (1999)
BRASIL. Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Atenção Básica. Diabetes Mellitus: Caderno de Atenção Básica - n.º 16. Série A. Normas e Manuais Técnicos. Brasília, DF (2006)
de Castro, A.K.A., Pinheiro, P.R., Pinheiro, M.C.D.: An Approach for the Neuropsychological Diagnosis of Alzheimer’s Disease: A Hybrid Model in Decision Making. In: Wen, P., Li, Y., Polkowski, L., Yao, Y., Tsumoto, S., Wang, G. (eds.) RSKT 2009. LNCS, vol. 5589, pp. 216–223. Springer, Heidelberg (2009)
de Castro, A.K.A., Pinheiro, P.R., Pinheiro, M.C.D.: A Hybrid Model for Aiding in Decision Making for the Neuropsychological Diagnosis of Alzheimer’s Disease. In: Chan, C.-C., Grzymala-Busse, J.W., Ziarko, W.P. (eds.) RSCTC 2008. LNCS (LNAI), vol. 5306, pp. 495–504. Springer, Heidelberg (2008)
Figueira, J., Greco, S., Ehrgott, M.: Multiple Criteria Decision Analysis: State of the Art Surveys. Springer, Boston (2005)
Harris, M.I.: Diabetes in America: Epidemiology and scope of the problem. Diabetes Care 21(sup. 3), 11–14 (1998)
Holmes, D.M.: The person and diabetes psychosocial context. Diabetes Care 9(2), 194–206 (1986)
Larichev, O.I., Moshkovich, H.M.: Verbal decision analysis for unstructured problems. Kluwer Academic Publishers, The Netherlands (1997)
Nunes, L.C.: A Hybrid Model for Supporting Diagnosis of Psychological Disorders. Master Thesis - Graduate Program in Applied Informatics, University of Fortaleza (2010)
Tamanini, I.: Improving the ZAPROS Method Considering the Incomparability Cases. Master Thesis - Graduate Program in Applied Informatics, University of Fortaleza (2010)
The Expert Committee on the diagnosis and classification of diabetes mellitus. Report of the Expert Committee on the diagnosis and classification of diabetes mellitus. Diabetes Care 20, 1183–1197 (1997)
World Health Organization. Definition, diagnosis and classification of diabetes mellitus and its complications: report of a WHO consultation. Geneva, World Health Organization, 59 p. (1999)
Roy, B.: Paradigms and Challenges. In: Figueira, J., Greco, S., Ehrgott, M. (eds.) Multiple Criteria Decision Analysis: State of the Art Surveys. Series: International Series in Operations Research & Management Science, vol. 78, XXXVI, pp. 3–24 (2005)
Atkinson, M.A., Maclaren, N.K.: The pathogenesis of insulin dependent diabetes. N. Engl. J. Med. 331, 1428–1436 (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Menezes, A.C., Pinheiro, P.R., Pinheiro, M.C.D., Cavalcante, T.P. (2012). Towards the Applied Hybrid Model in Decision Making: Support the Early Diagnosis of Type 2 Diabetes. In: Liu, B., Ma, M., Chang, J. (eds) Information Computing and Applications. ICICA 2012. Lecture Notes in Computer Science, vol 7473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34062-8_84
Download citation
DOI: https://doi.org/10.1007/978-3-642-34062-8_84
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34061-1
Online ISBN: 978-3-642-34062-8
eBook Packages: Computer ScienceComputer Science (R0)