Diabetes mellitus
is considered as a dangerous chronic disease. Diagnosis is the first step in
its management. Clinical decision support system (CDSS) for diabetes diagnosis
improves its detection and decreases the opportunity for its complications.
However, its diagnosis is a
theory-less problem. Case-based reasoning (CBR) is a
problem-solving paradigm that uses past experiences to solve new problems.
Integration of
CBR and formal ontologies enhances the intelligence of this paradigm. Utilizing
patients’ electronic health records (EHRs) for building case-base knowledge
solves the problem of knowledge acquisition bottleneck.
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