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Updated: Jul 5, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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通过机器学习和上下文文本表示来改善患者安全事件报告分类.

Hongbo Chen1, Eldan Cohen1, Dulaney Wilson2

  • 1Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada.

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting
|January 12, 2024
PubMed
概括

这项研究通过使用神经自然语言处理 (NLP) 的上下文文本表示来增强患者安全事件 (PSE) 报告分类. 这种方法提高了准确性,从而提高了患者的安全性和降低了医疗保健成本.

关键词:
机器学习 机器学习患者安全事件 患者安全事件文字分类 文本分类

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