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虐待风险的预测模型:TRIPOD/PROBAST合规性,校准性和公平性 - 一个系统的审查
Rasha Sayed Ahmed1, Mostafa Shaban2
1Assistant Professor of Early Childhood, Faculty of Education, King Khalid University, Abha, Saudi Arabia.
Child abuse & neglect
|February 5, 2026
概括
儿童虐待预测模型显示出良好的歧视,但需要更好的报告,验证和公平性检查. 未来的模型必须遵循TRIPOD和PROBAST的指南,以提高儿童保护决策的可靠性和公平性.
科学领域:
- 儿童保护研究 儿童保护研究
- 风险预测建模风险预测建模
- 公共卫生信息学 公共卫生信息学
背景情况:
- 儿童虐待风险预测模型对于儿童保护决策至关重要.
- 对方法质量,透明度,校准和公平性存在担忧,特别是在行政数据方面.
- 需要有系统的评估来解决这些局限性.
研究的目的:
- 系统地审查儿童虐待风险预测模型.
- 评估遵守报告标准 (TRIPOD) 和偏见/适用性风险 (PROBAST) 的情况.
- 评估校准,外部验证和公平性方面的证据.
主要方法:
- 包括开发/验证虐待结果的多变量预测模型的定量研究.
- 搜索了电子数据库和注册表 (2010-2025) 的模型性能数据.
- 使用TRIPOD和PROBAST进行独立查,数据提取和评估.
主要成果:
- 十四项研究符合纳入标准,主要使用管理/临床数据与后勤回归或机器学习.
- 模型表现出中等到高的歧视,但显示出部分的TRIPOD坚持.
- 观察到频繁的偏见,有限的校准,稀疏的外部验证和不均的公平性审计.
结论:
- 目前的模型提供了有希望的歧视,但遭受不完整的报告和方法的弱点.
- 在校准,可运输性和公平性方面存在有限的证据.
- 未来的研究必须优先考虑TRIPOD/PROBAST对齐,验证,校准和公平审计.
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