An Ontology to Model the International Rules for Multiple Primary Malignant Tumours in Cancer Registration
Featured Application The ontology provides a standalone application for validating cases of multiple primary tumours against the international rules. The ontology can also be incorporated into the suite of ontologies planned for devolving to the local cancer-registry level the validation process of...
| Autores: | , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO) |
| Repositorio: | r-FISABIO. Repositorio Institucional de Producción Científica |
| OAI Identifier: | oai:fisabio.fundanetsuite.com:p14162 |
| Acceso en línea: | https://fisabio.portalinvestigacion.com/publicaciones/14162 |
| Access Level: | acceso abierto |
| Palabra clave: | cancer registry data validation multiple primary tumours ontology machine-based reasoning |
| Sumario: | Featured Application The ontology provides a standalone application for validating cases of multiple primary tumours against the international rules. The ontology can also be incorporated into the suite of ontologies planned for devolving to the local cancer-registry level the validation process of the variables contributing to the common European-harmonised data set and thereby help accelerate the availability of data for pan-European and inter-regional comparison. Population-based cancer registry data provide a key epidemiological resource for monitoring cancer in defined populations. Validation of the data variables contributing to a common data set is necessary to remove statistical bias; the process is currently performed centrally. An ontology-based approach promises advantages in devolving the validation process to the registry level but the checks regarding multiple primary tumours have presented a hurdle. This work presents a solution by modelling the international rules for multiple primary cancers in description logic. Topography groupings described in the rules had to be further categorised in order to simplify the axioms. Description logic expressivity was constrained as far as possible for reasons of automatic reasoning performance. The axioms were consistently able to trap all the different types of scenarios signalling violation of the rules. Batch processing of many records were performed using the Web Ontology Language application programme interface. Performance issues were circumvented for large data sets using the software interface to perform the reasoning operations on the basis of the axioms encoded in the ontology. These results remove one remaining hurdle in developing a purely ontology-based solution for performing the European harmonised data-quality checks, with a number of inherent advantages including the formalisation and integration of the validation rules within the domain data model itself. |
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