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Updated: Feb 12, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

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自动逻辑观察识别器名称和代码映射与生物医学自然语言处理模型:通过开放概念实验室实现可扩展的健康信息交换

Parvati Naliyatthaliyazchayil1, Venkat Ramana Sangam1, Joseph Amlung2,3

  • 1Department of Biomedical Engineering and Informatics, Luddy School of Informatics, Computing, and Engineering, Indiana University Indianapolis, Indianapolis, IN 46202, United States.

Journal of the American Medical Informatics Association : JAMIA
|February 11, 2026
PubMed
概括

一种新的生物医学自然语言处理 (NLP) 方法,ScispaCy-LOINC,有效地将实验室测试字符串映射到LOINC代码中,特别是对于不完整的数据. 它显示了对现有的开放概念实验室 (OCL) 算法的补充优势.

关键词:
在LOINC中,您可以使用LOINC.在生物医学NLP中.临床互操作性 临床互操作性健康信息交换 交换健康信息交换实验室数据 实验室数据

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