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Updated: Sep 20, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Published on: June 13, 2025

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通过混合组合学习和可解释的AI预测心血管风险

Pooja Shah1, Madhu Shukla2, Neel H Dholakia2

  • 1Department of Computer Science and Engineering, Pandit Deendayal Energy University, Knowledge Corridor, Raisan Village, Gandhinagar, Gujarat, 382007, India.

Scientific reports
|May 23, 2025
PubMed
概括

本研究引入了用于心血管疾病 (CVD) 风险预测的混合组合学习框架,结合了机器学习和可解释的AI. 该模型实现了强大的预测性能和可解释性,有助于早期风险评估和有针对性的治疗.

关键词:
心血管风险预测预测可解释的人工智能混合组合学习是混合组合学习.多维特征分析多维特征分析在SHAP分析中,分析

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