通过知识图,将临床和系统知识整合到牙周和牙周植入物疾病教育中
Yi-Jia Sun1, Yi-Feng Zhao2, Lei Zhang1
1Shanghai Engineering Research Center of Tooth Restoration and Regeneration & Tongji Research Institute of Stomatology & Department of Periodontology, Shanghai Tongji Stomatological Hospital and Dental School, Tongji University, Shanghai, China.
这项研究建立了一个牙周病知识图和PerioMind系统,改进了结构化管理和智能应用对于牙周病知识.
科学领域:
- 牙周病学 牙周病学
- 知识工程知识工程知识工程
- 人工智能的人工智能
背景情况:
- 牙周病的知识是复杂和分散的.
- 缺乏这种知识的结构化管理和智能应用.
- 现有的系统不能充分支持临床决策或研究.
研究的目的:
- 为牙周病学构建一个全面的知识图.
- 基于这个知识图,开发一个智能问答 (QA) 系统.
- 加强牙周病知识的结构化管理和应用.
主要方法:
- 使用EFP和AAP的共识文件和指导方针作为数据来源.
- 采用大型语言模型辅助的语义方法来提取实体和关系.
- 构建了一个Neo4j知识图,并开发了图形增强的PerioMind QA系统.
主要成果:
- 从26个文档创建了一个知识图,有1872个节点和1894个边缘.
- PerioMind系统高效地处理自然语言查询,并产生专业的响应.
- 获得高评价分:准确度4.8,可解释性4.4,领域相关性4.8,完整性4.5.5.
结论:
- 开发了一个结构化的知识图和PerioMind系统用于牙周病学.
- 该系统支持智能诊断,教育和牙周科的研究.
- 未来的工作将扩大知识,并加强推理,为一个先进的智能知识服务平台.
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