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通过整合糖尿病肾病的诊疗指南和真实世界临床数据构建中医知识图谱并应用于潜在知识发现。

The construction of a TCM knowledge graph and application of potential knowledge discovery in diabetic kidney disease by integrating diagnosis and treatment guidelines and real-world clinical data.

作者信息

Zhao Xiaoliang, Wang Yifei, Li Penghui, Xu Julia, Sun Yao, Qiu Moyan, Pang Guoming, Wen Tiancai

机构信息

Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Kaifeng Hospital of Traditional Chinese Medicine, Henan, China.

出版信息

Front Pharmacol. 2023 May 31;14:1147677. doi: 10.3389/fphar.2023.1147677. eCollection 2023.

DOI:10.3389/fphar.2023.1147677
PMID:37324451
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10264574/
Abstract

The complexity and rapid progression of lesions in diabetic kidney disease pose significant challenges for clinical diagnosis and treatment. The advantages of Traditional Chinese Medicine (TCM) in diagnosing and treating this condition have gradually become evident. However, due to the disease's complexity and the individualized approach to diagnosis and treatment in Traditional Chinese Medicine, Traditional Chinese Medicine guidelines have limitations in guiding the treatment of diabetic kidney disease. Most medical knowledge is currently stored in the process of recording medical records, which hinders the understanding of diseases and the acquisition of diagnostic and treatment knowledge among young doctors. Consequently, there is a lack of sufficient clinical knowledge to support the diagnosis and treatment of diabetic kidney disease in Traditional Chinese Medicine. To build a comprehensive knowledge graph for the diagnosis and treatment of diabetic kidney disease in Traditional Chinese Medicine, utilizing clinical guidelines, consensus, and real-world clinical data. On this basis, the knowledge of Traditional Chinese Medicine diagnosis and treatment of diabetic kidney disease was systematically combed and mined. Normative guideline data and actual medical records were used to construct a knowledge graph of Traditional Chinese Medicine diagnosis and treatment for diabetic kidney disease and the results obtained by data mining techniques enrich the relational attributes. Neo4j graph database was used for knowledge storage, visual knowledge display, and semantic query. Utilizing multi-dimensional relations with hierarchical weights as the core, a reverse retrieval verification process is conducted to address the critical problems of diagnosis and treatment put forward by experts. 903 nodes and 1670 relationships were constructed under nine concepts and 20 relationships. Preliminarily a knowledge graph for Traditional Chinese Medicine diagnosis and treatment of diabetic kidney disease was constructed. Based on the multi-dimensional relationships, the diagnosis and treatment questions proposed by experts were validated through multi-hop queries of the graphs. The results were confirmed by experts and showed good outcomes. This study systematically combed the Traditional Chinese Medicine diagnosis and treatment knowledge of diabetic kidney disease by constructing the knowledge graph. Furthermore, it effectively solved the problem of "knowledge island". Through visual display and semantic retrieval, the discovery and sharing of diagnosis and treatment knowledge of diabetic kidney disease were realized.

摘要

糖尿病肾病病变的复杂性和快速进展给临床诊断和治疗带来了重大挑战。中医在诊断和治疗这种疾病方面的优势逐渐显现。然而，由于该疾病的复杂性以及中医诊断和治疗的个体化方法，中医指南在指导糖尿病肾病的治疗方面存在局限性。目前，大多数医学知识存储在病历记录过程中，这阻碍了年轻医生对疾病的理解以及诊断和治疗知识的获取。因此，缺乏足够的临床知识来支持中医对糖尿病肾病的诊断和治疗。为构建中医糖尿病肾病诊断和治疗的综合知识图谱，利用临床指南、共识和真实世界临床数据。在此基础上，系统梳理和挖掘中医糖尿病肾病诊断和治疗知识。使用规范性指南数据和实际病历构建中医糖尿病肾病诊断和治疗知识图谱，通过数据挖掘技术获得的结果丰富了关系属性。使用Neo4j图数据库进行知识存储、可视化知识展示和语义查询。以具有层次权重的多维关系为核心，进行反向检索验证过程，以解决专家提出的诊断和治疗关键问题。在九个概念和二十种关系下构建了903个节点和1670条关系。初步构建了中医糖尿病肾病诊断和治疗知识图谱。基于多维关系，通过对图谱的多跳查询验证专家提出的诊断和治疗问题。结果得到专家确认，显示出良好效果。本研究通过构建知识图谱系统梳理了中医糖尿病肾病诊断和治疗知识。此外，有效解决了“知识孤岛”问题。通过可视化展示和语义检索，实现了糖尿病肾病诊断和治疗知识的发现与共享。

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