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Journal article

Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation

Abstract:

Background Diagnostic or procedural coding of clinical notes aims to derive a coded summary of disease-related information about patients. Such coding is usually done manually in hospitals but could potentially be automated to improve the efficiency and accuracy of medical coding. Recent studies on deep learning for automated medical coding achieved promising performances. However, the explainability of these models is usually poor, preventing them to be used confidently in supporting clinica...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jbi.2021.103728

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0001-6828-6891
More by this author
Role:
Author
ORCID:
0000-0002-4816-8991
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Role:
Author
ORCID:
0000-0002-0213-5668
Chief Scientist Office More from this funder
Publisher:
Elsevier Publisher's website
Journal:
Journal of Biomedical Informatics Journal website
Volume:
116
Article number:
103728
Publication date:
2021-03-09
Acceptance date:
2021-02-25
DOI:
EISSN:
1532-0480
ISSN:
1532-0464
Pmid:
33711543
Language:
English
Keywords:
Pubs id:
1264316
Local pid:
pubs:1264316
Deposit date:
2022-09-13

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