A Pilot Study on Modeling of Diagnostic Criteria Using OWL and SWRL.
The objective of this study is to describe our efforts in a pilot study on modeling diagnostic criteria using a Semantic Web-based approach. We reused the basic framework of the ICD-11 content model and refined it into an operational model in the Web Ontology Language (OWL). The refinement is based on a bottom-up analysis method, in which we analyzed data elements (including value sets) in a collection (n=20) of randomly selected diagnostic criteria. We also performed a case study to formalize rule logic in the diagnostic criteria of metabolic syndrome using the Semantic Web Rule Language (SWRL). The results demonstrated that it is feasible to use OWL and SWRL to formalize the diagnostic criteria knowledge, and to execute the rules through reasoning.
Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Na
N
Hong
Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Guoqian
G
Jiang
Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Jyotishiman
J
Pathak
Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Christopher G
CG
Chute
D005240:Feasibility Studies; D017408:Guidelines as Topic; D038801:International Classification of Diseases / Q000592:standards*; D008962:Models, Theoretical; D009323:Natural Language Processing; D010865:Pilot Projects; D011381:Programming Languages; D012660:Semantics; D009626:Terminology as Topic; D018875:Vocabulary, Controlled