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A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning
Acute Respiratory Distress Syndrome (ARDS) is a syndrome of respiratory failure that may be identified using text from radiology reports. The objective of this study was to determine whether natural language processing (NLP) with machine learning performs better than a traditional keyword model for...
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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
2018
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6371271/ https://ncbi.nlm.nih.gov/pubmed/30815053 |
| タグ: |
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