A case study of muscle dysmorphia disorder diagnostics

► 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...

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Bibliographic Details
Published in:Expert systems with applications 2013-08, Vol.40 (10), p.4226-4231
Main Authors: Sokolova, Marina V., González-Martí, Irene, Contreras Jordán, Onofre Ricardo, Fernández Bustos, Juan Gregorio
Format: Article
Language:English
Subjects:
Classifiers
Decision tree
Decision trees
Diagnosis
Disorders
Expert systems
Modeling
Muscle dysmorphia
Muscles
Regression
Young people
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Summary:► 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.
ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2013.01.023