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Learning to Identify Treatment Relations in Clinical Text
In clinical notes, physicians commonly describe reasons why certain treatments are given. However, this information is not typically available in a computable form. We describe a supervised learning system that is able to predict whether or not a treatment relation exists between any two medical con...
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出版年: | AMIA Annu Symp Proc |
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主要な著者: | , |
フォーマット: | Artigo |
言語: | Inglês |
出版事項: |
American Medical Informatics Association
2014
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主題: | |
オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4419965/ https://ncbi.nlm.nih.gov/pubmed/25954330 |
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