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Updated: Jan 10, 2026

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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开发机器学习模型,使用可解释的人工智能来预测脆弱风险,并在社区公共卫生中基于网络的应用

Seungmi Kim1, Byung Kwan Choi2,3,4, Jeong Su Cho2,5,6

  • 1Department of Convergence Medical Science, School of Medicine, Pusan National University, Yangsan, Republic of Korea.

Frontiers in public health
|November 24, 2025
PubMed
概括

这项研究使用可解释的人工智能确定了韩国老年人虚弱的关键预测因素,开发了一个预测模型和社区健康查的网络应用程序. 这些发现强调了抑郁症,年龄和功能状况是早期发现脆弱性的关键因素.

关键词:
这就是 SHAP SHAP 的意思.数字健康数字健康可以解释的人工智能AI脆弱 脆弱 脆弱 脆弱 脆弱机器学习是机器学习.预测模型 预测模型

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