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Natural language processing and recurrent network models for identifying genomic mutation-associated cancer treatment change from patient progress notes
OBJECTIVES: Natural language processing (NLP) and machine learning approaches were used to build classifiers to identify genomic-related treatment changes in the free-text visit progress notes of cancer patients. METHODS: We obtained 5889 deidentified progress reports (2439 words on average) for 755...
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| 發表在: | JAMIA Open |
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| Main Authors: | , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Oxford University Press
2019
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6435007/ https://ncbi.nlm.nih.gov/pubmed/30944913 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamiaopen/ooy061 |
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