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Updated: Sep 16, 2025

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揭示数字过度诊断 - 使用临床轨迹进行量化和减轻:肝素诱导的血小板缺血使用案例

Prabodi Senevirathna1, Douglas E V Pires1, Daniel Capurro2

  • 1School of Computing and Information Systems, The University of Melbourne, Melbourne 3053 Victoria, Australia.

Journal of biomedical informatics
|July 10, 2025
PubMed
概括

本研究引入了一种机器学习框架,通过整合临床数据来量化和减少数字过度诊断. 该方法成功识别和重新分类过度诊断的病例,提高了诊断准确度.

关键词:
临床的发展轨迹数字诊断工具是数字诊断工具.数字过度诊断是一种数字过度诊断.电子医疗记录 (EMR) 是一种电子医疗记录.肝素诱导的血小板缺血 (HIT)机器学习 (ML) 是指机器学习.过度诊断是一种过度诊断

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