相关实验视频

Updated: Jul 1, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

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

Published on: September 20, 2018

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AssistMED项目:将心脏病队列特征从电子健康记录转变为自然语言处理 - 算法设计,初步结果和现场前景

Cezary Maciejewski1, Krzysztof Ozierański2, Adam Barwiołek3

  • 11st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland; Doctoral School, Medical University of Warsaw, 02-091 Warszawa, Poland; Department of Medical Informatics and Telemedicine, Medical University of Warsaw, 02-091 Warszawa, Poland.

International journal of medical informatics
|March 6, 2024
PubMed
概括

作为一种自然语言处理 (NLP) 工具,AssistMED有效地从电子健康记录 (EHR) 中提取患者数据. 这种自动化过程通过提供全面的患者特征来支持临床研究,减少手动数据提取负担.

关键词:
心脏病学 心脏病学流行病学 流行病学在NLP中,我们使用了NLP.自然语言处理自然语言处理.文本挖掘是一种文本挖掘.

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