Using Topic Segmentation to Enhance Concept Parsing and Identification of Negations [Methods Study], Massachusetts, 2019-2023
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/39740/versions/V1
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资源简介：
Clinical notes in electronic health records, or EHRs, may contain information that can help researchers study and compare treatments. But it takes researchers a lot of time to find information in EHR notes.
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 in EHR notes, some sentences may contain more than one topic. Also, EHR notes may discuss a single topic over many sentences. In these cases, current NLP methods don't work well to find complete and accurate information about a specific topic.
In this study, the research team developed and tested new NLP methods to identify topics from EHR notes.
提供机构：
ICPSR - Interuniversity Consortium for Political and Social Research
创建时间：
2026-03-23
