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Didactic Panel: clinical Natural Language Processing in Languages Other Than English
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
2014 (Engelska)Ingår i: AMIA Annual Symposium 2014: proceedings, American Medical Informatics Association , 2014, s. S 84-Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
American Medical Informatics Association , 2014. s. S 84-
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Forskningsämne
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-110974OAI: oai:DiVA.org:su-110974DiVA, id: diva2:773748
Konferens
AMIA Annual Symposium 2014
Tillgänglig från: 2014-12-19 Skapad: 2014-12-19 Senast uppdaterad: 2018-01-11Bibliografiskt granskad

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Dalianis, Hercules
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Institutionen för data- och systemvetenskap
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