{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:37:11Z","timestamp":1740202631792,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>Clinical guidelines and clinical pathways are accepted and proven instruments for quality assurance and process optimization in the healthcare domain. To derive clinical pathways from clinical guidelines, the imprecise, non-formalized abstract guidelines must be formalized. The transfer of evidence-based knowledge (clinical guidelines) to care processes (clinical pathways) is not straightforward due to different information contents and semantical constructs. A complex step within this formalization process is the mark-up step and annotation of the text passages to terminologies. The Unified Medical Language System (UMLS) provides a common reference terminology as well as the semantic link for combining the clinical pathways to patient-specific information. This paper proposes a semi-automated mark-up and UMLS annotation for clinical guidelines by using natural language processing techniques. The algorithm has been tested and evaluated using a German breast cancer guideline.<\/jats:p>","DOI":"10.3233\/978-1-61499-830-3-294","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T18:09:19Z","timestamp":1740161359000},"source":"Crossref","is-referenced-by-count":0,"title":["Semi-Automatic Mark-Up and UMLS Annotation of Clinical Guidelines"],"prefix":"10.3233","author":[{"family":"Becker Matthias","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"B&ouml;ckmann Britta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2017: Precision Healthcare through Informatics"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T18:38:20Z","timestamp":1740163100000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-829-7&spage=294&doi=10.3233\/978-1-61499-830-3-294"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-830-3-294","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2017]]}}}