Support system for decision making in the identification of risk for body dysmorphic disorder: A fuzzy model

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dc.contributor.authorBrito, Maria José Azevedo de [UNIFESP]
dc.contributor.authorNahas, Fabio Xerfan [UNIFESP]
dc.contributor.authorOrtega, Neli Regina Siqueira
dc.contributor.authorCordás, Táki Athanássios
dc.contributor.authorDini, Gal Moreira [UNIFESP]
dc.contributor.authorSabino Neto, Miguel [UNIFESP]
dc.contributor.authorFerreira, Lydia Masako [UNIFESP]
dc.contributor.institutionUniversidade Federal de São Paulo (UNIFESP)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2016-01-24T14:34:21Z
dc.date.available2016-01-24T14:34:21Z
dc.date.issued2013-09-01
dc.description.abstractPurpose: 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.en
dc.description.affiliationUniversidade Federal de São Paulo UNIFESP, Div Plast Surg, São Paulo, Brazil
dc.description.affiliationUniversidade Federal de São Paulo, Dept Surg, São Paulo, Brazil
dc.description.affiliationUniv São Paulo Sch Med FMUSP, Ctr Fuzzy Syst Hlth, São Paulo, Brazil
dc.description.affiliationFMUSP, Dept Psychiat, São Paulo, Brazil
dc.description.affiliationUnifespUniversidade Federal de São Paulo UNIFESP, Div Plast Surg, São Paulo, Brazil
dc.description.affiliationUnifespUniversidade Federal de São Paulo, Dept Surg, São Paulo, Brazil
dc.description.sourceWeb of Science
dc.format.extent844-853
dc.identifierhttps://dx.doi.org/10.1016/j.ijmedinf.2013.04.007
dc.identifier.citationInternational Journal of Medical Informatics. Clare: Elsevier B.V., v. 82, n. 9, p. 844-853, 2013.
dc.identifier.doi10.1016/j.ijmedinf.2013.04.007
dc.identifier.issn1386-5056
dc.identifier.urihttps://repositorio.unifesp.br/handle/11600/36711
dc.identifier.wosWOS:000323584700010
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofInternational Journal of Medical Informatics
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.subjectFuzzy logicen
dc.subjectPlastic surgeryen
dc.subjectBody dysmorphic disordersen
dc.subjectSomatoform disordersen
dc.subjectPsychiatryen
dc.subjectInvestigative techniquesen
dc.titleSupport system for decision making in the identification of risk for body dysmorphic disorder: A fuzzy modelen
dc.typeinfo:eu-repo/semantics/article
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