Abstract
Major Depressive Disorder have been responsible for millions of professionals temporary removal, and even permanent, from diverse fields of activities around the world, generating damage to social, financial, productive systems and social security, and especially damage to the image of the individual and his family that these disorders produce in individuals who are patients, characteristics that make them stigmatized and discriminated into their society, making difficult their return to the production system. The lack of early diagnosis has provided reactive and late measures, only when the professional suffering psychological disorder is already showing signs of incapacity for working and social relationships. This article aims to assist in the decision making to establish early diagnosis of these types of psychological disorders. It presents a proposal for a hybrid model composed of expert system structured methodologies for decision support (Multi-Criteria Decision Analysis - MCDA) and representations of knowledge structured in logical rules of production and probabilities (Artificial Intelligence - AI).
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Nunes, L.C., Pinheiro, P.R., Pequeno, T.C., Pinheiro, M.C.D. (2010). Support Tool in the Diagnosis of Major Depressive Disorder. In: Lytras, M.D., Ordonez de Pablos, P., Ziderman, A., Roulstone, A., Maurer, H., Imber, J.B. (eds) Organizational, Business, and Technological Aspects of the Knowledge Society. WSKS 2010. Communications in Computer and Information Science, vol 112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16324-1_15
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DOI: https://doi.org/10.1007/978-3-642-16324-1_15
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