onr:"swepub:oai:DiVA.org:su-190020"
Search: onr:"swepub:oai:DiVA.org:su-190020" > De-Identifying Swed...
- 1 of 1
- Previous record
- Next record
- To hitlist
De-Identifying Swedish EHR Text Using Public Resources in the General Domain
-
- Chomutare, Taridzo (author)
- Norwegian Centre for E-health Research, Norway
-
- Yigzaw, Kassaye Yitbarek (author)
- Norwegian Centre for E-health Research, Norway
-
- Budrionis, Andrius (author)
- Norwegian Centre for E-health Research, Norway
- show more...
- show less...
- (creator_code:org_t)
- Amsterdam : IOS Press, 2020
- 2020
- English.
- In: Digital Personalized Health and Medicine. - Amsterdam : IOS Press. - 9781643680828 - 9781643680835 ; , s. 148-152
- Conference paper (peer-reviewed)
Abstract
Subject headings
Close
- Sensitive data is normally required to develop rule-based or train machine learning-based models for de-identifying electronic health record (EHR) clinical notes; and this presents important problems for patient privacy. In this study, we add non-sensitive public datasets to EHR training data; (i) scientific medical text and (ii) Wikipedia word vectors. The data, all in Swedish, is used to train a deep learning model using recurrent neural networks. Tests on pseudonymized Swedish EHR clinical notes showed improved precision and recall from 55.62% and 80.02% with the base EHR embedding layer, to 85.01% and 87.15% when Wikipedia word vectors are added. These results suggest that non-sensitive text from the general domain can be used to train robust models for de-identifying Swedish clinical text; and this could be useful in cases where the data is both sensitive and in low-resource languages.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Keyword
- EHR
- clinical text
- de-identification
- deep learning
- wiki word vectors
- data- och systemvetenskap
- Computer and Systems Sciences
Publication and Content Type
- ref (subject category)
- kon (subject category)
Find in a library
- Digital Personalized Health and Medicine (Search for host publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Chomutare, Tarid ...
- Yigzaw, Kassaye ...
- Budrionis, Andri ...
- Makhlysheva, Ale ...
- Godtliebsen, Fre ...
- Dalianis, Hercul ...
- About the subject
-
- NATURAL SCIENCES
- NATURAL SCIENCES
- and Computer and Inf ...
- Articles in the publication
- Digital Personal ...
- By the university
- Stockholm University
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
