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Developing a Manually Annotated Clinical Document Corpus to Identify Phenotypic Information for Inflammatory Bowel Disease
BACKGROUND: Natural Language Processing (NLP) systems can be used for specific Information Extraction (IE) tasks such as extracting phenotypic data from the electronic medical record (EMR). These data are useful for translational research and are often found only in free text clinical notes. A key r...
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主要な著者: | , , , , , , |
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フォーマット: | Artigo |
言語: | Inglês |
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American Medical Informatics Association
2009
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主題: | |
オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3041557/ https://ncbi.nlm.nih.gov/pubmed/21347157 |
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