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Improving sensitivity of machine learning methods for automated case identification from free-text electronic medical records
BACKGROUND: Distinguishing cases from non-cases in free-text electronic medical records is an important initial step in observational epidemiological studies, but manual record validation is time-consuming and cumbersome. We compared different approaches to develop an automatic case identification s...
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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2013
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3602667/ https://ncbi.nlm.nih.gov/pubmed/23452306 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-13-30 |
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