Research on promotion of implementation of clinical practice guidelines(II): framework design of knowledge graph construction based on guidelines for non-muscle invasive bladder cancer

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Author: Yong-Bo WANG 1# Kuang GAO 2# Xu-Hui LI 1 Qiao HUANG 1 Jing GUO 3 Yi-Bei SI 4 Mu-Kun CHEN 2 Si-Yu YAN 1 Wen-Bin HU 2 Ying-Hui JIN 1

Affiliation: 1. Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, China 2. School of Computer Science, Wuhan University, Wuhan 430072, China 3. Acupuncture and Rehabilitation Department, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China 4. The Second Clinical College, Wuhan University, Wuhan 430071, China

Keywords: Non-muscle invasive bladder cancer Clinical guidelines Knowledge graph Neo4j


Reference:Wang YB, Gao K, Li XH, Huang Q, Guo J, Si YB, Chen MK, Yan SY, Hu WB, Jin YH. Research on promotion of implementation of clinical practice guidelines (Ⅱ): framework design of knowledge graph construction based on guidelines for non-muscle invasive bladder cancer[J]. Yixue Xinzhi Zazhi, 2021, 31(6): 419-432. DOI: 10.12173/j.issn.1004-5511.2020111058.[Article in Chinese]

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The transformation and application of the guidelines is a crucial link in the transformation of medical science achievements and technology. However, there are still many problems with the op-erability of the current guidelines in clinical decision-making and practice. The knowledge graph has provided a solid foundation for the intelligentization of the guidelines and a good method for solving the problems of the implementation of the guidelines. Non-muscle invasive bladder cancer (NMIBC) is a common malignant tumor of the urinary system, and new diagnosis and treatment methods for NMIBC are emerging. In view of the time-consuming and frequent update of clinical guidelines for NMIBC, as well as the urgent need for clinicians to learn, use, and sort out the updated content of the guidelines, this study is based on the disease characteristics of NMIBC and the clinical guidelines to propose and construct a knowledge graph framework for clinical guidelines of NMIBC, which mainly starts from ana-lyzing the scope of the guideline, combing the guideline content modules, summarizing the guideline knowledge structure. Then, we referred to the OMAHA Schema, and designed the concept structure ta-ble according to the secondary concept layer and concept instances. Thereafter, we designed and ad-justed the relationship structure between concepts, improved the relationship between entities, and finally reviewed and evaluated the scientific and method validity of the knowledge graph through ex-perts. The design of the knowledge graph construction framework based on the guideline for NMIBC proposed in this paper provides a basis for the digitization and intelligence of the guideline, which is conducive to the implementation and dissemination of the guideline.

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