Decision support systems for screening BDD in plastic surgery patients
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Citações na Scopus
Tipo de produção
conferenceObject
Data de publicação
2016
Título da Revista
ISSN da Revista
Título do Volume
Editora
CRC PRESS-TAYLOR & FRANCIS GROUP
Autores
Citação
BIOMEDWOMEN, p.75-76, 2016
Resumo
The use of fuzzy logic combined with the experts' knowledge and information from collected data can provide additional elements to assist doctors in the decision-making process when selecting patients for cosmetic surgery. Ninety-six patients seeking rhinoplasty were selected from a university hospital between August 2013 and December 2014. The BDDE and SCID-I (gold standard) were administered preoperatively and the resulting data were evaluated using a fuzzy model developed to quantify of the level of distress in cosmetic surgery patients. A very good AUC-ROC of 0.86 was obtained for the fuzzy model versus the SCID-I, and the model had an excellent sensitivity of 0.92, indicating that it can be used in screening for BDD. The fuzzy model showed to be a valid measure of distress in patients with BDD seeking cosmetic surgery and a screening tool and clinical decision support system for use with cosmetic surgery patients.
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Referências
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- de Brito MJA, 2015, J PLAST RECONSTR AES, V68, P270, DOI 10.1016/j.bjps.2014.09.046
- de Britoa MJA, 2013, INT J MED INFORM, V82, P844, DOI 10.1016/j.ijmedinf.2013.04.007