Abstract
AbstractLarge medical ontologies can be of great help in building a specialized clinical information system. First step in their use is to identify the subset of concepts which are relevant to the specialty. In this paper we present a method to automatically identify the breast cancer concepts from the SNOMED-CT ontology using large text corpus as source of knowledge. In addition to finding them, the concepts are also assigned relevance values.In our experiments the method produced results of an overall high quality. The precision was high, and the recall was relatively low, but the concepts which were not found are complex and arguably ambiguous, which limits their applicability in practice. This research was application driven, and the breast cancer concepts found have been applied in a real oncology information system.KeywordsontologySNOMED-CTbreast cancerterm frequency
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