<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ohlsen, Tessa</style></author><author><style face="normal" font="default" size="100%">Kruse, Valerie</style></author><author><style face="normal" font="default" size="100%">Krupar, Rosemarie</style></author><author><style face="normal" font="default" size="100%">Alexandra Banach</style></author><author><style face="normal" font="default" size="100%">Ingenerf, Josef</style></author><author><style face="normal" font="default" size="100%">Drenkhahn, Cora M.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Mapping of ICD-O tuples to OncoTree codes using SNOMED CT post-coordination</style></title><secondary-title><style face="normal" font="default" size="100%">Medical Informatics Europe</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Studies in Health Technology and Informatics</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">05/2022</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">294</style></volume><pages><style face="normal" font="default" size="100%">307--311</style></pages><abstract><style face="normal" font="default" size="100%">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.</style></abstract><custom1><style face="normal" font="default" size="100%">https://pubmed.ncbi.nlm.nih.gov/35612082/</style></custom1></record></records></xml>