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Updated: Jun 28, 2025

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在建立数据标签时实现高互评分可靠性:一个回顾性图表审查研究研究

Guosong Wu1, Cathy Eastwood1, Natalie Sapiro1

  • 1Centre for Health Informatics, Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.

BMJ open quality
|April 17, 2024
PubMed
概括

在对机器学习数据的医疗病历审查中,实现了高的评级者间可靠性 (IRR). 这确保了对并发症和不良事件 (AE) 的准确标记,这对于开发可靠的AI模型至关重要.

关键词:
不良事件,流行病学和检测.图表审查方法 图表审查方法患者安全 患者安全

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