Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation Study
BackgroundPublic health surveillance relies on the collection of data, often in near-real time. Recent advances in natural language processing make it possible to envisage an automated system for extracting information from electronic health records. ObjectiveTo s...
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| Principais autores: | , , , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
JMIR Publications
2023-01-01
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| Serier: | JMIR AI |
| Online adgang: | https://ai.jmir.org/2023/1/e40843 |
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