Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation
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...Expand abstract
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- Peer reviewed
(Accepted manuscript, pdf, 849.2KB)
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- Elsevier Inc.
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- © 2021 Elsevier Inc.
This is the accepted manuscript version of the article. The final version is available from Elsevier at https://doi.org/10.1016/j.jbi.2021.103728
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