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Performance of a Natural Language Processing Method to Extract Stone Composition from the Electronic Health Record
OBJECTIVES: To demonstrate the utility of a natural language processing (NLP) algorithm for mining kidney stone composition in a large-scale electronic health records (EHR) repository. METHODS: We developed StoneX, a pattern matching method for extracting kidney stone composition information from cl...
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| Veröffentlicht in: | Urology |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6778032/ https://ncbi.nlm.nih.gov/pubmed/31310771 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.urology.2019.07.007 |
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