{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T03:19:49Z","timestamp":1762053589091,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"print","value":"9781643682846"},{"type":"electronic","value":"9781643682853"}],"license":[{"start":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T00:00:00Z","timestamp":1653436800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,25]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3233\/shti220464","type":"book-chapter","created":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T12:13:55Z","timestamp":1653480835000},"source":"Crossref","is-referenced-by-count":5,"title":["Mapping of ICD-O Tuples to OncoTree Codes Using SNOMED CT Post-Coordination"],"prefix":"10.3233","author":[{"given":"Tessa","family":"Ohlsen","sequence":"first","affiliation":[{"name":"Institute for Medical Informatics, University of L\u00fcbeck, L\u00fcbeck, Germany"}]},{"given":"Valerie","family":"Kruse","sequence":"additional","affiliation":[{"name":"Clinic for Hematology and Oncology, UKSH, L\u00fcbeck, Germany"}]},{"given":"Rosemarie","family":"Krupar","sequence":"additional","affiliation":[{"name":"Pathology of the Research Center Borstel, Leibniz Lung Center, Borstel, Germany"}]},{"given":"Alexandra","family":"Banach","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics, University of L\u00fcbeck, L\u00fcbeck, Germany"}]},{"given":"Josef","family":"Ingenerf","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics, University of L\u00fcbeck, L\u00fcbeck, Germany"},{"name":"IT Center for Clinical Research, University of L\u00fcbeck, L\u00fcbeck, Germany"}]},{"given":"Cora","family":"Drenkhahn","sequence":"additional","affiliation":[{"name":"IT Center for Clinical Research, University of L\u00fcbeck, L\u00fcbeck, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Challenges of Trustable AI and Added-Value on Health"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220464","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T12:13:56Z","timestamp":1653480836000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220464"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,25]]},"ISBN":["9781643682846","9781643682853"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220464","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2022,5,25]]}}}