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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: South, Brett R, Shen, Shuying, Jones, Makoto, Garvin, Jennifer, Samore, Matthew H, Chapman, Wendy W, Gundlapalli, Adi V
フォーマット: Artigo
言語:Inglês
出版事項: American Medical Informatics Association 2009
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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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