{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T03:08:41Z","timestamp":1792897721542,"version":"4.5.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683881","type":"print"},{"value":"9781643683898","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,5,18]],"date-time":"2023-05-18T00:00:00Z","timestamp":1684368000000},"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":[[2023,5,18]]},"abstract":"<jats:p>Word vector representations, known as embeddings, are commonly used for natural language processing. Particularly, contextualized representations have been very successful recently. In this work, we analyze the impact of contextualized and non-contextualized embeddings for medical concept normalization, mapping clinical terms via a k-NN approach to SNOMED CT. The non-contextualized concept mapping resulted in a much better performance (F1-score = 0.853) than the contextualized representation (F1-score = 0.322).<\/jats:p>","DOI":"10.3233\/shti230278","type":"book-chapter","created":{"date-parts":[[2023,5,19]],"date-time":"2023-05-19T04:47:42Z","timestamp":1684471662000},"source":"Crossref","is-referenced-by-count":5,"title":["SapBERT-Based Medical Concept Normalization Using SNOMED CT"],"prefix":"10.3233","author":[{"given":"Akhila","family":"Abdulnazar","sequence":"first","affiliation":[{"name":"Institute for Medical Informatics Statistics and Documentation, Medical University of Graz, Austria"},{"name":"Center for Biomarker Research in Medicine, Graz, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Markus","family":"Kreuzthaler","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics Statistics and Documentation, Medical University of Graz, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roland","family":"Roller","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Schulz","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics Statistics and Documentation, Medical University of Graz, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Caring is Sharing \u2013 Exploiting the Value in Data for Health and Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230278","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T11:01:56Z","timestamp":1685530916000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230278"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,18]]},"ISBN":["9781643683881","9781643683898"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230278","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,18]]}}}