An ontology for carcinoma classification for clinical bioinformatics

Studies in Health Technology and Informatics 116 (1):635-640 (2005)
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Abstract

There are a number of existing classifications and staging schemes for carcinomas, one of the most frequently used being the TNM classification. Such classifications represent classes of entities which exist at various anatomical levels of granularity. We argue that in order to apply such representations to the Electronic Health Records one needs sound ontologies which take into consideration the diversity of the domains which are involved in clinical bioinformatics. Here we outline a formal theory for addressing these issues in a way that the ontologies can be used to support inferences relating to entities which exist at different anatomical levels of granularity. Our case study is the colon carcinoma, one of the most common carcinomas prevalent within the European population.

Author Profiles

Daniel D. Novotný
University Of South Bohemia
Barry Smith
State University of New York, Buffalo

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