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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Veröffentlicht in:	Computers in biology and medicine Jg. 139; S. 104998
Hauptverfasser:	Ji, Shaoxiong, Hölttä, Matti, Marttinen, Pekka
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.12.2021 Elsevier Limited
Schlagworte:	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-Zugang:	Volltext
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