Abstract:
In the developing world, there is a high prevalence of common mental disorder such
schizophrenia, generalized anxiety disorders, generalized depressive and other related disorders.
We have created an ontology-based diagnosis and recommendation model to increase services
and help the psychiatrist expert and people. To create domain-based knowledge, we applied
Semantic Web Technology. Domain expert and other expert-written materials were used to
acquire data for domain ontology-based knowledge building. The concepts, relationships, and
qualities of this ontology model can be utilized in the approach to diagnosis and recommendation
of common mental disorders. In order to determine the type of mental disorder based on the
symptoms in the domain ontology, the SWRL rules are developed using legitimate relationships
between ontology concepts. Our study was carried out using the Design Science research
methodology. Using protégé editor, we modeled the acquired knowledge as an ontology-based
architecture, and pellet reasoner was used to assess the consistency of the domain ontology we
had constructed. We may search the domain ontology for treatments, drugs, advice, and other
pertinent information. We have used the sample of 34 patients’ symptoms with common mental
disorders diagnosed by domain experts from Jimma University Referral Hospital. The result
shows 32 patients are correctly diagnosed by our developed model using SWRL rule (the
correctness ratio is 94.1%). All the recommended information for each CMD was taken from
domain experts and developed in our domain ontology model. Its performance was evaluated by
non-psychiatrist and psychiatrist experts and the performance was 85.3%. The overall
performance of our developed domain ontology model was average 89.7%.
