Does the magic of BERT apply to medical code assignment? A quantitative study

Unsupervised pretraining is an integral part of many natural language processing systems, and transfer learning with language models has achieved remarkable results in downstream tasks. In the clinical application of medical code assignment, diagnosis and procedure codes are inferred from lengthy cl...

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Bibliographic Details
Published in:	Computers in biology and medicine Vol. 139; p. 104998
Main Authors:	Ji, Shaoxiong, Hölttä, Matti, Marttinen, Pekka
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.12.2021 Elsevier Limited
Subjects:	BERT Building codes Codes Empirical analysis Information management Internal Medicine Knowledge Language Machine learning Medical code assignment Medical coding Natural Language Processing Neural networks Other Pretrained language models Quantitative analysis Quantitative study Semantics Transfer learning Medical code assignment BERT Quantitative study Pretrained language models
ISSN:	0010-4825, 1879-0534, 1879-0534
Online Access:	Get full text
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