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Updated: Sep 12, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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了解用于儿童保护预测的机器学习模型的开发,性能,公平性和透明度:系统性审查

Claudia Bull1, Steve Kisely2, Kim Betts3

  • 1Princess Alexandra Hospital Southside Clinical Unit, Greater Brisbane Clinical School, Medical School, The University of Queensland, Queensland, Australia; Queensland Centre for Mental Health Research, The University of Queensland, Brisbane, Australia.

Child abuse & neglect
|August 8, 2025
PubMed
概括

这次审查发现,用于儿童保护预测的机器学习 (ML) 模型在方法上不成熟,往往缺乏公平性,透明度和可重现性. 伦理发展需要先进的公平技术和开放的数据共享,以获得更好的结果.

关键词:
机器学习 机器学习普罗巴斯特 (Probast) 是一个著名的作家.三脚架+AI 这是一个非常好的方法.算法的公平性算法的公平性.儿童保护 儿童保护 儿童保护利益相关者参与 利益相关者参与透明度 透明度 透明度

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Models, Theories, and Laws01:16

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Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...
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