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Improving the Utility of Tobacco-Related Problem List Entries Using Natural Language Processing
We present findings on using natural language processing to classify tobacco-related entries from problem lists found within patient’s electronic health records. Problem lists describe health-related issues recorded during a patient’s medical visit; these problems are typically followed up upon duri...
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| Опубликовано в: : | AMIA Annu Symp Proc |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
American Medical Informatics Association
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8075422/ https://ncbi.nlm.nih.gov/pubmed/33936427 |
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