MIDL 2021

 
International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021

Mapping of ICD-O tuples to OncoTree codes using SNOMED CT post-coordination

TitleMapping of ICD-O tuples to OncoTree codes using SNOMED CT post-coordination
Publication TypeJournal Article
Year of Publication2022
AuthorsOhlsen T., Kruse V., Krupar R., Banach A., Ingenerf J., Drenkhahn C.M.
JournalMedical Informatics Europe
Volume294
Pages307--311
Date Published05/2022
ISSN1879-8365
Abstract

Around 500,000 oncological diseases are diagnosed in Germany every year which are documented using the International Classification of Diseases for Oncology (ICD-O). Apart from this, another classification for oncology, OncoTree, is often used for the integration of new research findings in oncology. For this purpose, a semi-automatic mapping of ICD-O tuples to OncoTree codes was developed. The implementation uses a FHIR terminology server, pre-coordinated or post-coordinated SNOMED CT expressions, and subsumption testing. Various validations have been applied. The results were compared with reference data of scientific papers and manually evaluated by a senior pathologist, confirming the applicability of SNOMED CT in general and its post-coordinated expressions in particular as a viable intermediate mapping step. Resulting in an agreement of 84,00 % between the newly developed approach and the manual mapping, it becomes obvious that the present approach has the potential to be used in everyday medical practice.

DOI10.3233/SHTI220464
PubMed Link

https://pubmed.ncbi.nlm.nih.gov/35612082/

Created at May 2, 2022 - 3:12pm. Last modified at June 19, 2022 - 4:06pm.

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