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An ontology-based approach for developing a harmonised data-validation tool for European cancer registration.

Nicholas Charles NicholsonFrancesco GiustiManola BettioRaquel Negrao CarvalhoNadya DimitrovaTadeusz DybaManuela FlegoLuciana NeamtiuGiorgia RandiCarmen Martos
Published in: Journal of biomedical semantics (2021)
Describing the European cancer-registry core data set in terms of an OWL ontology affords a tool based on a formalised set of axioms for validating a cancer-registry's data set according to harmonised, supra-national rules. The fact that the data checks are inherently linked to the data model would lead to less maintenance overheads and also allow automatic versioning synchronisation, important for distributed data-quality checking processes.
Keyphrases
  • electronic health record
  • big data
  • papillary thyroid
  • machine learning
  • squamous cell carcinoma
  • deep learning
  • lymph node metastasis
  • clinical evaluation