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...

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Authors: Nicholson, NC, Giusti, F, Bettio, M, Carvalho, RN, Dimitrova, N, Dyba, T, Flego, M, Neamtiu, L, Randi, G, Martos, C
Format: article
Status:Published version
Publication Date:2021
Country:España
Institution:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
Repository:r-FISABIO. Repositorio Institucional de Producción Científica
OAI Identifier:oai:fisabio.fundanetsuite.com:p14162
Online Access:https://fisabio.portalinvestigacion.com/publicaciones/14162
Access Level:Open access
Keyword:cancer registry
data validation
multiple primary tumours
ontology
machine-based reasoning
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spelling An Ontology to Model the International Rules for Multiple Primary Malignant Tumours in Cancer RegistrationNicholson, NCGiusti, FBettio, MCarvalho, RNDimitrova, NDyba, TFlego, MNeamtiu, LRandi, GMartos, Ccancer registrydata validationmultiple primary tumoursontologymachine-based reasoningFeatured 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.MDPI2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fisabio.portalinvestigacion.com/publicaciones/14162Applied Sciences-BaselISSN: 20763417reponame:r-FISABIO. Repositorio Institucional de Producción Científicainstname:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)Inglésinfo:eu-repo/semantics/openAccessoai:fisabio.fundanetsuite.com:p141622026-06-11T12:45:17Z
dc.title.none.fl_str_mv An Ontology to Model the International Rules for Multiple Primary Malignant Tumours in Cancer Registration
title An Ontology to Model the International Rules for Multiple Primary Malignant Tumours in Cancer Registration
spellingShingle An Ontology to Model the International Rules for Multiple Primary Malignant Tumours in Cancer Registration
Nicholson, NC
cancer registry
data validation
multiple primary tumours
ontology
machine-based reasoning
title_short An Ontology to Model the International Rules for Multiple Primary Malignant Tumours in Cancer Registration
title_full An Ontology to Model the International Rules for Multiple Primary Malignant Tumours in Cancer Registration
title_fullStr An Ontology to Model the International Rules for Multiple Primary Malignant Tumours in Cancer Registration
title_full_unstemmed An Ontology to Model the International Rules for Multiple Primary Malignant Tumours in Cancer Registration
title_sort An Ontology to Model the International Rules for Multiple Primary Malignant Tumours in Cancer Registration
dc.creator.none.fl_str_mv Nicholson, NC
Giusti, F
Bettio, M
Carvalho, RN
Dimitrova, N
Dyba, T
Flego, M
Neamtiu, L
Randi, G
Martos, C
author Nicholson, NC
author_facet Nicholson, NC
Giusti, F
Bettio, M
Carvalho, RN
Dimitrova, N
Dyba, T
Flego, M
Neamtiu, L
Randi, G
Martos, C
author_role author
author2 Giusti, F
Bettio, M
Carvalho, RN
Dimitrova, N
Dyba, T
Flego, M
Neamtiu, L
Randi, G
Martos, C
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv cancer registry
data validation
multiple primary tumours
ontology
machine-based reasoning
topic cancer registry
data validation
multiple primary tumours
ontology
machine-based reasoning
description 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.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://fisabio.portalinvestigacion.com/publicaciones/14162
url https://fisabio.portalinvestigacion.com/publicaciones/14162
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Applied Sciences-Basel
ISSN: 20763417
reponame:r-FISABIO. Repositorio Institucional de Producción Científica
instname:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
instname_str Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
reponame_str r-FISABIO. Repositorio Institucional de Producción Científica
collection r-FISABIO. Repositorio Institucional de Producción Científica
repository.name.fl_str_mv
repository.mail.fl_str_mv
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