Natural Language Processing (NLP) for Medication Adherence: Complex Semantics and Negation [Methods Study], United States, 2015-2022
收藏DataCite Commons2026-03-23 更新2026-05-03 收录
下载链接：
https://www.icpsr.umich.edu/web/pcodr/studies/39736/versions/V1
下载链接
链接失效反馈官方服务：
资源简介：
Clinical notes in electronic health records, or EHRs, can help researchers study treatments. For example, EHR notes may contain information about whether patients take their medicines as directed. But it takes researchers a lot of time to find this information.
Natural language processing, or NLP, methods can help researchers find information in EHR notes. With NLP, computer programs read and identify written language to make it easier to sort and study. But current NLP methods don't work well to find and label text about medicine use.
In this study, the research team created and tested a new NLP method to find and label EHR notes on patients' medicine use.
提供机构：
ICPSR - Interuniversity Consortium for Political and Social Research
创建时间：
2026-03-23
