PsyDis: Towards a diagnosis support system for psychological disorders

  • Authors:
  • Cristina Casado-Lumbreras;Alejandro Rodríguez-González;José María Álvarez-Rodríguez;Ricardo Colomo-Palacios

  • Affiliations:
  • Universidad Computense de Madrid, Faculty of Education, Edificio "LA ALMUDENA", Rector Royo Villanova s/n, 28040 Madrid, Spain;Computer Science Department, Universidad Carlos III de Madrid, Av. de la Universidad 30, 28911 Leganes, Madrid, Spain;Department of Computer Science, University of Oviedo, C/Calvo Sotelo s/n, 33007 Oviedo, Spain;Computer Science Department, Universidad Carlos III de Madrid, Av. de la Universidad 30, 28911 Leganes, Madrid, Spain

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

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Abstract

Psychological diagnosis is not a simple task. In spite of the amount of information and decision support systems available, mental disorders are still difficult to diagnose due to their intrinsic lack of formal boundaries. This paper presents PsyDis, a tool aimed to support the decision-making process in mental disorder diagnosis. PsyDis combines ontologies and logical inference mechanisms to offer decision support in the field of psychological clinical diagnosis. The system has been evaluated by means of two different studies. Results show notable accuracy of the system in terms of precision, recall and f measures.