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The objectives of this work are (1) to develop a classifier application for tumor staging based on a formal representation of the Tumor-Node-Metastasis classification system (TNM), and (2) to show the feasibility of this approach on real data. This paper presents a classifier application for colorectal tumors based on the TNM-O ontology. It was developed in the JAVA using the OWL-API. The TNM-O uses...
Semantic Interoperability, i.e., Preserving the meaning among health related data, is one of the crucial topics of Health Informatics. The International Classification of Diseases by WHO and SNOMED-CT, by IHTSDO, are the most prominent systems currently available for coding health data. In 2010 a collaboration agreement between the maintainers of ICD and SNOMED-CT has been signed, and gave birth to...
After a critical review of the present architecture of SNOMED CT, addressing both logical and ontological issues, we present a roadmap toward an overall improvement and recommend the following actions: SNOMED CT's ontology, dictionary, and information model components should be kept separate. SNOMED CT's upper level should be re-arranged according to a standard upper level ontology. SNOMED CT concepts...
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