Construction and Application of Knowledge Graph for Food Therapy

Qianzhong Chen, Xianghao Meng, Feng Lin, Dongsheng Shi, Y. Lin, Dongmei Li, Hao Gu, Xiaoping Zhang
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Abstract

As healthcare popularity increases, more people use food therapy for nourishment and healing. However, without scientific guidance, it's difficult to select appropriate foods for specific needs. To address the issue, we extract knowledge from TCMSP and professional books and fuse the data from different sources. Next, the Food Therapy Knowledge Graph (FTKG) is constructed. Finally, a food therapy system is developed that integrates the concept of TCMSP and FTKG, which uses the efficient knowledge retrieval and knowledge reasoning ability of the knowledge graph. It provides scientific food therapy solutions by analyzing symptoms and substituting traditional Chinese medicine with food, s address individual health needs.
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食疗知识图谱的构建与应用
随着医疗保健的普及,越来越多的人使用食物疗法来营养和治疗。然而,没有科学的指导,很难选择适合特定需求的食物。为了解决这个问题,我们从TCMSP和专业书籍中提取知识,并融合来自不同来源的数据。其次,构建食疗知识图谱(FTKG)。最后,结合TCMSP和FTKG的概念,利用知识图的高效知识检索和知识推理能力,开发了一个食疗系统。通过分析症状,以食物替代中药,提供科学的食疗解决方案,满足个人健康需求。
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