A case study of muscle dysmorphia disorder diagnostics

Authors:
Marina V. Sokolova;Irene GonzáLez-Martí;Onofre Ricardo Contreras JordáN;Juan Gregorio FernáNdez Bustos
Affiliations:
Instituto de Investigación en Informática de Albacete (I3A), Universidad de Castilla-La Mancha, 02071 Albacete, Spain and Southwest State University, Kursk 305040, Russia;University of Castilla-La Mancha, Faculty of Education, Physical Education Department, 16071 Cuenca, Spain;University of Castilla-La Mancha, Faculty of Education, Physical Education Department, 02071 Albacete, Spain;University of Castilla-La Mancha, Faculty of Education, Physical Education Department, 02071 Albacete, Spain
Venue:
Expert Systems with Applications: An International Journal
Year:
2013

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Abstract

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.