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Implant Terms: Focused Terminology Extraction with Swedish BERT - Preliminary Results

Jerdhaf, Oskar (author)
Linkoping University, Sweden
Santini, Marina, 1960- (author)
RISE,Prototypande samhälle,Digital Health
Lundberg, Peter (author)
Linkoping University, Sweden
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Karlsson, Anette (author)
Linkoping University, Sweden
Jönsson, Arne (author)
Linkoping University, Sweden
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 (creator_code:org_t)
2020
English.
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Certain implants are imperative to detect be-fore MRI scans. However, implant terms, like‘pacemaker’ or ‘stent’, are sparse and difficultto identify in noisy and hastily written elec-tronic medical records (EMRs). In this pa-per, we explore how to discover implant termsin Swedish EMRs with an unsupervised ap-proach.To this purpose, we use BERT, astate-of-the-art deep learning algorithm, andfine-tune a model built on pre-trained SwedishBERT. We observe that BERT discovers asolid proportion of indicative implant terms.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Language Technology (hsv//eng)

Keyword

Automatic Terminology Extraction
BERT
medical records
deep llearning
pretrained model in Swedish

Publication and Content Type

ref (subject category)
kon (subject category)

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