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Updated: Jun 28, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Matching between the concepts of knowledge representation for a hypertension guideline and SNOMED CT
Hyun Young Kim1, In Sook Cho, Jae Hyun Lee
1R & D Center for Interoperable EHR, Seoul National University, Korea.
Abstract:
To support knowledge representation for the development of an interoperable clinical decision support system for hypertension management, matching of 228 concepts for HT management was conducted between knowledge representation concepts and SNOMED CT. 86.8% of the concepts were covered by direct matching. 7.5% were covered by compositional matching, and 5.7% were covered by general matching. The authors concluded that SNOMED CT is useful for representing knowledge concepts but does not cover all concepts without loss of semantics.
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