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Updated: Sep 10, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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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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对于联合元学习的强有力的推断

Zijian Guo1, Xiudi Li2, Larry Han3

  • 1Department of Statistics, Rutgers University.

Journal of the American Statistical Association
|August 26, 2025
PubMed
概括

这项研究引入了一个强大的推断框架,用于联合的元学习,使得在不共享个体患者数据的情况下,可以从多种数据源进行准确的统计推断. 这种方法即使在数据选择不确定性的情况下也能确保可靠的结果.

关键词:
不同源的数据高维推理保护个人隐私一致有效的推论

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