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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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Detalles Bibliográficos
Publicado en:Urology
Main Authors: Bejan, Cosmin A, Lee, Daniel J, Xu, Yaomin, Hsi, Ryan S
Formato: Artigo
Idioma:Inglês
Publicado: 2019
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Acceso en liña: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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