| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 383925 | Expert Systems with Applications | 2013 | 6 Pages |
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.
► 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.
