Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text
Abstract Background To detect attributes of medical concepts in clinical text, a traditional method often consists of two steps: named entity recognition of attributes and then relation classification between medical concepts and attributes. Here we present a novel solution, in which attribute detec...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-12-01
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Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12911-019-0937-2 |