End-to-end Chinese clinical event extraction based on large language model
Abstract Clinical event extraction is crucial for structuring medical data, supporting clinical decision-making, and enabling other intelligent healthcare services. Traditional approaches for clinical event extraction often use pipeline-based methods to identify event triggers and elements. However,...
| Published in: | Scientific Reports |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-00609-y |
