A case study of muscle dysmorphia disorder diagnostics

• Published in: Expert systems with applications Vol. 40; no. 10; pp. 4226 - 4231
• Main Authors: Sokolova, Marina V., González-Martí, Irene, Contreras Jordán, Onofre Ricardo, Fernández Bustos, Juan Gregorio
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01-08-2013
• Subjects: Classifiers; Decision tree; Decision trees; Diagnosis; Disorders; Expert systems; Modeling; Muscle dysmorphia; Muscles; Regression; Young people; Decision tree; Modeling; Muscle dysmorphia
• ISSN: 0957-4174; 1873-6793
• DOI: 10.1016/j.eswa.2013.01.023

► A set of indicators which describe a psychological profile of a person with MD and the degree of the disease was stated. ► Several models including regression models, decision tree and rule learners were calculated. ► The models enable to identify the most influential factors which can be used for diagnostic purpose.
Muscle dysmorphia is a mental disorder which mainly affects young people and which may have physiological consequences. Though the nature of muscle dysmorphia has been studied, there is still a lack of scientific works explaining the hidden patterns and creation of models for this disorder. With this aim, using regression techniques, rule learners and decision tree classifiers, several models which can be useful for diagnosis and prevention of this disorder, has been obtained.