支气管哮喘患者护理教学内容知识图谱的构建

doi:10.3761/j.issn.1672-9234.2024.03.002

摘要/Abstract

摘要：

随着医疗护理知识更新速度加快，学生需要掌握的知识和技能也在飞速增加。各类在线教育方式使学生获取的学习资源呈现多样化、便捷化，但这也导致了知识的碎片化。知识图谱能够有效地整合并呈现各个领域的知识，为护理教学提供更加全面与系统的理论基础和知识支撑。该研究以内科护理学课程中的支气管哮喘患者护理章节为例，从教学内容结构化、模式层和数据层设计、知识抽取和知识存储等方面构建了知识图谱，可为解决知识碎片化问题提供思路，为构建医学课程知识图谱提供方法学参考。

关键词: 知识图谱, 教育, 护理, 支气管哮喘

Abstract:

With the accelerating pace of updates in medical and nursing knowledge，the knowledge and skills that students need to master are also increasing rapidly. Various online education methods has provided students with diverse and convenient learning resources，but there may also lead to problems such as fragmented knowledge. Knowledge graph can effectively integrate and present knowledge from various fields，providing a more comprehensive and systematic theoretical basis and knowledge support for nursing education. Therefore，this study has undertaken the bronchial asthma chapter in Medical Nursing as an example and constructed a digital teaching model based on a knowledge graph from the aspects of structured teaching content，design of model layer and data layer，knowledge extraction and knowledge storage. This study aims to provide research ideas for solving problems such as fragmented knowledge and provides methodological references for constructing knowledge graphs of medical courses.

Key words: Knowledge Graph, Education, Nursing, Bronchial Asthma

张山, 吴瑛. 支气管哮喘患者护理教学内容知识图谱的构建[J]. 中华护理教育, 2024, 21(3): 269-275.

ZHANG Shan, WU Ying. Construction of nursing teaching content for patients with bronchial asthma based on knowledge graph[J]. Chinese Journal of Nursing Education, 2024, 21(3): 269-275.

图/表 8

图1

图2

表1

表2

表3

表4

表5

图3

参考文献 18

[1]	Breda C. Medical knowledge doubles every few months;how can clinicians keep up?[EB/OL]. (2023-01-07). https://www.elsevier.com/connect/medical-knowledge-doubles-every-few-months-how-can-clinicians-keep-up#.
[2]	王佳弘, 席文杰, 董丽丽, 等. 虚拟仿真技术在护理教育中的应用与挑战[J]. 中华护理杂志, 2020, 55(3):401-404. doi: 10.3761/j.issn.0254-1769.2020.03.017
	Wang JH, Xi WJ, Dong LL, et al. Application and challenge of virtual simulation technology in nursing education[J]. Chin J Nurs, 2020, 55(3):401-404. doi: 10.3761/j.issn.0254-1769.2020.03.017
[3]	教育部. 教育部关于发布《教师数字素养》教育行业标准的通知[EB/OL]. (2023-02-25). http://www.moe.gov.cn/srcsite/A16/s3342/202302/t20230214_1044634.html.
[4]	师咏诗, 钟秋安. 关于医学信息化线上教学的思考[J]. 继续医学教育, 2022, 36(12):25-28.
	Shi YS, Zhong QA. Thoughts on online teaching of medical informatization[J]. Continuing Med Educ, 2022, 36(12):25-28.
[5]	刘知远, 韩旭, 孙茂松. 知识图谱与深度学习[J]. 中文信息学报, 2020, 34(6):前插1.
[6]	Ji SX, Pan SR, Cambria E, et al. A survey on knowledge graphs:representation,acquisition,and applications[J]. IEEE Trans Neural Netw Learn Syst, 2022, 33(2):494-514. doi: 10.1109/TNNLS.2021.3070843
[7]	Hogan A, Blomqvist E, Cochez M, et al. Knowledge graphs[EB/OL]. [2023-08-14]. https://arxiv.org/abs/2003.02320.
[8]	曾露, 李其娜. 知识图谱赋能信息化教学创新[J]. 现代信息科技, 2021, 5(7):196-198.
	Zeng L, Li QN. Knowledge graph enabling informatization teaching innovation[J]. Mod Informationn Technol, 2021, 5(7):196-198.
[9]	Lovelace J, Newman-Griffis D, Vashishth S, et al. Robust knowledge graph completion with stacked convolutions and a student re-ranking network[J]. Proc Conf Assoc Comput Linguist Meet, 2021, 2021:1016-1029. doi: 10.18653/v1/2021.acl-long.82 pmid: 35821978
[10]	李春艳, 王傲君. 基于学科知识图谱的高校教学模式研究[J]. 湖北经济学院学报(人文社会科学版), 2023, 20(1):137-140.
	Li CY, Wang AJ. Research on teaching mode in colleges and universities based on subject knowledge map[J]. J Hubei Univ Econ Humanit Soc Sci, 2023, 20(1):137-140.
[11]	Liu TY, Shen HJ, Chang L, et al. Iterative heterogeneous graph learning for knowledge graph-based recommendation[J]. Sci Rep, 2023, 13(1):6987. doi: 10.1038/s41598-023-33984-5 pmid: 37117327
[12]	杭栋, 李菁, 陈然, 等. 教育知识图谱在流行病学教学中的应用[J]. 基础医学教育, 2023, 25(4):310-314.
	Hang D, Li J, Chen R, et al. Application of educational knowledge map in epidemiological teaching[J]. Basic Med Educ, 2023, 25(4):310-314.
[13]	Lezhnina O, Kismihók G, Prinz M, et al. A scholarly knowledge graph-powered dashboard:implementation and user evaluation[J]. Front Res Metr Anal, 2022, 7:934930. doi: 10.3389/frma.2022.934930
[14]	Murali L, Gopakumar G, Viswanathan DM, et al. Towards electronic health record-based medical knowledge graph construction,completion,and applications:a literature study[J]. J Biomed Inform, 2023, 143:104403. doi: 10.1016/j.jbi.2023.104403
[15]	浙中医大最美护理新闻宣传中心. 最美护理·以美启智\|智慧教学助力最美护理——《中医护理学》知识图谱新形态全国共享课程建成[EB/OL]. [2023-08-14]. https://mp.weixin.qq.com/s?src=11&timestamp=1691978841&ver=4711&signature=ZSZd HCLe3RCQhJKXZwaBINowcZg1FmnjO8WpW-pEI8ZxIbKkGDdBWDzRrL-ZoiLs8mVyKhgX6fzQ5SorGaZDd2NXgET-4LQDVeuSRk7j1Qz*s8IYIYh0Tmpdsib5&new=1.
[16]	Zhao XL, Wang YF, Li PH, et al. The construction of a TCM knowledge graph and application of potential knowledge disco-very in diabetic kidney disease by integrating diagnosis and treatment guidelines and real-world clinical data[J]. Front Pharmacol, 2023, 14:1147677. doi: 10.3389/fphar.2023.1147677
[17]	赵宇博, 张丽萍, 闫盛, 等. 个性化学习中学科知识图谱构建与应用综述[J]. 计算机工程与应用, 2023, 59(10):1-21. doi: 10.3778/j.issn.1002-8331.2209-0345
	Zhao YB, Zhang LP, Yan S, et al. Construction and application of discipline knowledge graph in personalized learning[J]. Comput Eng Appl, 2023, 59(10):1-21. doi: 10.3778/j.issn.1002-8331.2209-0345
[18]	茶思月, 张秀, 李红. 基于学科核心素养的多模态教学知识图谱构建研究[J]. 现代信息科技, 2023, 7(1):173-177,181.
	Cha SY, Zhang X, Li H. Research on the construction of multi-modal teaching knowledge graph based on the discipline core literacy[J]. Mod Informationn Technol, 2023, 7(1):173-177,181.