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Updated: Jan 7, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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结合学习方法与可解释的人工智能,改善心脏病预测.

Ayomide Adekoya1, Faisal Saeed1, Wad Ghaban2

  • 1Department of Computer Science, Birmingham City University, Birmingham, United Kingdom.

Frontiers in pharmacology
|December 29, 2025
PubMed
概括

可解释组合学习框架 (IELF) 通过结合可解释增强机器 (EBM) 和XGBoost来增强心脏病预测. 这种方法提高了对心血管风险评估的模型解释性和临床可靠性.

关键词:
在XGBoost中使用.心血管疾病心血管疾病总的来说,一个团队就是一个团队.组合学习组合学习可以解释的人工智能AI心脏病 疾病 心脏病 疾病

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