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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

Published on Dec. 24, 2021Total Views: 7501 timesTotal Downloads: 2739 timesDownloadMobile

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

DOI: 10.12173/j.issn.1004-5511.2020111058

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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Abstract

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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References

1.Institute of Medicine (US) Committee on Standards for Developing Trustworthy Clinical Practice Guidelines. Clinical practice guidelines we can trust[M]. Washington (DC): National Academies Press, 2011. DOI: 10.1722 6/13058.

2.Heen AF, Vandvik PO, Brandt L, et al. A framework for practical issues was developed to inform shared decision-making tools and clinical guidelines[J]. J Clin Epidemiol, 2021, 129: 104-113. DOI: 10.1016/j.jclinepi.2020.10.002.

3.Vandvik PO, Brandt L, Alonso-Coello P, et al. Creating clinical practice guidelines we can trust, use, and share: a new era is imminent[J]. Chest, 2013, 144(2): 381-389. DOI: 10.1378/chest.13-0746.

4.Siemieniuk RA, Agoritsas T, Macdonald H, et al.  Introduction to BMJ rapid recommendations[J]. BMJ,  2016, 354: i5191. DOI: 10.1136/bmj.i5191.

5.He J, Baxter SL, Xu J, et al. The practical implementation of artificial intelligence technologies in medi-cine[J]. Nat Med, 2019, 25(1): 30-36. DOI: 10.1038/s41591-018-0307-0.

6.Lu F, Cong P, Huang X. Utilizing textual information in knowledge graph embedding: a survey of methods and applications[J/OL]. IEEE Access 2020, 8: 92072-92088. DOI: 10.1109/ACCESS.2020.2995074.

7.Wang Q, Mao Z, Wang B, et al. Knowledge graph embedding: a survey of approaches and applica-tions[J]. IEEE Transactions on Knowledged Data Engineering, 2017, 29(12): 2724-2743. DOI: 10.1109/TKDE.2017. 2754499.

8.Nicholson DN, Greene CS. Constructing knowledge graphs and their biomedical applications[J]. Com-put Struct Biotechnol J, 2020, 18: 1414-1428. DOI: 10.1016/j.csbj.2020.05.017.

9.Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of inci-dence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2018, 68(6): 394-424. DOI: 10.3322/caac.21492.

10.Richters A, Aben KKH, Kiemeney L. The global burden of urinary bladder cancer: an update[J]. World J Urol, 2020, 38(8): 1895-1904. DOI: 10.1007/s00345-019-02984-4.

11.靳英辉, 曾宪涛. 中国非肌层浸润性膀胱癌治疗与监测循证临床实践指南(2018年标准版)[J]. 现代泌尿外科杂志, 2019, 24(7): 516-542. DOI: 10.3969/j.issn. 1009-8291.2019.07.004. [Jin YH, Zeng XT. Evidence-based clinical practice guidelines for the treatment and monitoring of non-muscular invasive bladder cancer in China (2018 Standard Edition)[J]. Journal of Modern Urology, 2019, 24(7): 516-542.]

12.OMAHA. OMAHA Schema[EB/OL]. (2021-11-12) [Access on 2021-12-08]. http://wiki.omaha.org.cn/display/KG/OMAHA+ Schema.

13.张玲玉, 尹鸿峰. 基于OAN的知识图谱查询研究[J]. 软件, 2018, 39(1): 54-59. DOI: 10.3969/j.issn.1003- 6970.2018.01.011. [Zhang LY, Yin HF. A Knowledge graph query algorithm based on OAN[J]. computer engineering & Software, 2018, 39(1): 54-59.]