Neural transfer learning for assigning diagnosis codes to EMRs

•Transfer learning using convolutional neural networks improves multi-label learning.•Predicting MeSH terms for biomedical articles is a useful source task for EMR coding.•Using 2 copies of source task parameters, one fixed and one tuned, helps target models.•Using both word embeddings and convoluti...

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Vydáno v:	Artificial intelligence in medicine Ročník 96; s. 116 - 122
Hlavní autoři:	Rios, Anthony, Kavuluru, Ramakanth
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Netherlands Elsevier B.V 01.05.2019
Témata:	Clinical Coding - methods Convolutional neural networks Electronic Health Records - organization & administration Electronic Health Records - standards Humans International Classification of Diseases Medical coding Multi-label classification Neural Networks, Computer Transfer learning Convolutional neural networks Transfer learning Multi-label classification Medical coding
ISSN:	0933-3657, 1873-2860, 1873-2860
On-line přístup:	Získat plný text
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