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Didactic Panel: clinical Natural Language Processing in Languages Other Than English
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2014 (English)In: AMIA Annual Symposium 2014: proceedings, American Medical Informatics Association , 2014, S 84- p.Conference paper (Refereed)
Abstract [en]

Natural Language Processing (NLP) of clinical free-text has received a lot of attention from the scientific community. Clinical documents are routinely created across health care providing institutions and are generally written in the official language(s) of the country these institutions are located in. As a result, free-text clinical information is written in a large variety of languages. While most of the efforts for clinical NLP have focused on English, there is a strong need to extend this work to other languages, for instance in order to gain medical information about patient cohorts in geographical areas where English is not an official language. Furthermore, adapting current NLP methods developed for English to other languages may provide useful insight on the generalizability of algorithms and lead to increased robustness. This panel aims to provide an overview of clinical NLP for languages other than English, as for example French, Swedish and Bulgarian and discuss future methodological advances of clinical NLP in a context that encompasses English as well as other languages.

Place, publisher, year, edition, pages
American Medical Informatics Association , 2014. S 84- p.
National Category
Information Systems
Research subject
Computer and Systems Sciences
URN: urn:nbn:se:su:diva-110974OAI: diva2:773748
AMIA Annual Symposium 2014
Available from: 2014-12-19 Created: 2014-12-19 Last updated: 2015-06-22Bibliographically approved

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Dalianis, Hercules
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Department of Computer and Systems Sciences
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