Representing clinical knowledge in oral medicine using ontologies.

摘要: Medical ontologies like GALEN, the FMA or SNOMED represent a kind of “100% certain” medical knowledge which is not inherent to all sub-domains. Clinical radiology uses computerized imaging techniques make human body visible and interprets findings in clinical context delivering textual report. For few standardized vocabularies are available. We examined definitions given glossary terms for thoracic published by Fleischner Society. further classified these with regard their (a) describing structures on image itself, (b) referring ontological entities (anatomical pathological), (c) imposing image, epistemologically representing body. Each ontological/epistemological definition was rated scale vague/weak-sound/strong put evaluation comments use itself. The result this distinction shows that many valid representation ontology. However, epistemological exist terminology impose entities. analysis reveals as sound (ontologically) strong (epistemologically) evaluated higher than bearing vague weak definitions. On basis this, we argue between necessary order construct epistemologically-sensitive application sub-domains, radiology, where fragmented description, inferred from concluded imaging, other additional information varying degrees certainty.