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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| Egile Nagusiak: | , , , , , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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JMIR Publications
2023-01-01
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| Saila: | JMIR AI |
| Sarrera elektronikoa: | https://ai.jmir.org/2023/1/e40843 |
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