Support system for decision making in the identification of risk for body dysmorphic disorder: A fuzzy model
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2013-09-01
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Brito, Maria José Azevedo de 
Nahas, Fabio Xerfan
Dini, Gal Moreira
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Purpose: To develop a fuzzy linguistic model to quantify the level of distress of patients seeking cosmetic surgery. Body dysmorphic disorder (BDD) is a mental condition related to body image relatively common among cosmetic surgery patients; it is difficult to diagnose and is a significant cause of morbidity and mortality. Fuzzy cognitive maps are an efficient tool based on human knowledge and experience that can handle uncertainty in identifying or grading BDD symptoms and the degree of body image dissatisfaction. Individuals who seek cosmetic procedures suffer from some degree of dissatisfaction with appearance.Methods: A fuzzy model was developed to measure distress levels in cosmetic surgery patients based on the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV), diagnostic criterion B for BDD. We studied 288 patients of both sexes seeking abdominoplasty, rhinoplasty, or rhytidoplasty in a university hospital.Results: Patient distress ranged from none to severe (range=7.5-31.6; cutoff point=18; area under the ROC curve=0.923). There was a significant agreement between the fuzzy model and DSM-IV criterion B (kappa = 0.805; p<0.001).Conclusion: the fuzzy model measured distress levels with good accuracy, indicating that it can be used as a screening tool in cosmetic surgery and psychiatric practice. (C) 2013 Elsevier Ireland Ltd. All rights reserved.
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International Journal of Medical Informatics. Clare: Elsevier B.V., v. 82, n. 9, p. 844-853, 2013.