Automating clinical phenotyping using natural language processing
Abstract Background Real-world studies based on electronic health records often require manual chart review to derive patients’ clinical phenotypes, a labor-intensive task with limited scalability. Here, we developed and compared computable phenotyping based on rules using the spaCy framework and a...
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| Главные авторы: | , , , , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Portfolio
2026-01-01
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| Серии: | Communications Medicine |
| Online-ссылка: | https://doi.org/10.1038/s43856-025-01337-0 |
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