Abstract
We have developed a new educational/clinical
ontology named the “Haghighi-Koeda Mood
Disorder Ontology”, which involves both medical
and psychological approaches for mood disorders
in order to promote the exchange of information
between psychiatrists and psychologists. Data
was gathered from more than 5000 articles
published in journals and websites specialized in
life science. We evaluated and selected articles
which were related to 4 main categories of mood
disorders. Using Protégé 3.4 beta, information
related to mood disorders was classifi ed by class/
subclass tree in an ontological structure. Then
we developed a web-based interface system on
the internet enabling the implementation of the
ontology. In addition, we have designed an online
scale for automated diagnosis of mood disorder.
For evaluating experiments, we compare this
ontology with “Decisionbase™” of which content
deals with mood disorders. Evaluation was in
accordance with our selected criteria via the
AHP (Analysis of Hierarchical Processing)
method. The results demonstrated the noteworthy
superiority of our ontology. We believe that
combining knowledge of medical science with that
in psychological fields is a key to improving the
quality of diagnosis and promoting appropriate
treaTMent in all psychiatric disorders.
