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文章研究了大语言模型与知识图谱协同驱动下的中医处方规则动态生成策略。分析了中医处方规则挖掘的研究现状及传统数据挖掘方法的局限性，提出结合大语言模型与知识图谱的协同驱动机制。通过构建中医知识图谱并设计知识融合策略，建立了基于大语言模型的动态规则生成算法，实现了处方规则的实时更新与优化。实验结果表明，该策略能有效提升中医处方规则的准确性和适应性，为中医智能化诊疗提供了新思路。研究还探讨了该策略在实际应用中的潜在价值及未来发展方向，为中医药知识挖掘与智能决策系统的构建提供了理论支持和技术参考。
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基本信息:
DOI：10.16209/j.cnki.cust.2026.05.009
中图分类号:TP18;TP391.1;R288
引用信息:
[1]宁广健,何平,张生.大语言模型与知识图谱协同驱动的中医处方规则动态生成策略研究[J].中国高校科技,2026,No.453(05):32-39.DOI:10.16209/j.cnki.cust.2026.05.009.
基金信息:
中国高校产学研创新基金-新一代信息技术创新项目“规则引擎技术在中药智能评估中的研究与应用”（2024IT210）
2026-05-25
2026-05-25