Unsupervised -based bi-encoders for medical concept annotation of clinical narratives with SNOMED CT
Objective Clinical narratives provide comprehensive patient information. Achieving interoperability involves mapping relevant details to standardized medical vocabularies. Typically, natural language processing divides this task into named entity recognition (NER) and medical concept normalization (...
| Published in: | Digital Health |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2024-10-01
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| Online Access: | https://doi.org/10.1177/20552076241288681 |