李天皓, 张倩, 陆炜. 基于电子健康记录的智能算法研究综述[J]. 电子科技大学学报社科版, 2022, 24(5): 30-43. DOI: 10.14071/j.1008-8105(2022)-1055
引用本文: 李天皓, 张倩, 陆炜. 基于电子健康记录的智能算法研究综述[J]. 电子科技大学学报社科版, 2022, 24(5): 30-43. DOI: 10.14071/j.1008-8105(2022)-1055
LI Tian-hao, ZHANG Qian, LU Wei. Review of Research on Intelligent Algorithms Based on Electronic Health Records[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2022, 24(5): 30-43. DOI: 10.14071/j.1008-8105(2022)-1055
Citation: LI Tian-hao, ZHANG Qian, LU Wei. Review of Research on Intelligent Algorithms Based on Electronic Health Records[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2022, 24(5): 30-43. DOI: 10.14071/j.1008-8105(2022)-1055

基于电子健康记录的智能算法研究综述

Review of Research on Intelligent Algorithms Based on Electronic Health Records

  • 摘要:
    目的/意义 大数据时代下,人工智能、区块链等信息技术得到了迅速发展。电子健康记录(Electronic Health Records,EHRs)涵盖了大量医疗的关键信息,基于EHRs的智能算法在提升智慧医疗水平方面发挥着重要作用,该领域吸引了众多国内外学者的兴趣,取得了丰硕的成果。
    设计/方法 通过整理Web of Science和CNKI两大核心数据库的EHRs的相关研究文献,结合国家政策背景和国内外EHRs数据库的发展现状,用可视化图表分析了国内外EHRs相关研究的现状和发展趋势,并基于智能算法在EHRs的应用进行分类,展示了智能算法与EHRs相结合的研究成果。
    结论/发现 通过回顾性研究,揭示了EHRs与深度学习、大数据、强化学习和区块链等人工智能技术的关系,发现我国在EHRs数据库建设与利用方面的不足,并对此提出可改进的相关建议与对策。

     

    Abstract: Purpose/Significance Under the era of big data, information technologies such as artificial intelligence and blockchain have been developed rapidly. Electronic health records (EHRs) cover a large amount of key information on medical treatment, and intelligent algorithms based on EHRs play an important role in enhancing intelligent medical treatment. This field has attracted the interest of many scholars at home and abroad and achieved fruitful results. Design/Methodology By collating the research literature related to EHRs in the two core databases of Web of Science and CNKI, and combining the national policy background and the development status of EHRs databases at home and abroad, we analyzed the current situation and development trend of the research related to EHRs at home and abroad with visual charts, and classified the research results based on the application of intelligent algorithms in EHRs, showing the combination of intelligent algorithms and EHRs. Conclusions/Findings Through a retrospective study, the relationship between EHRs and artificial intelligence technologies such as deep learning, big data, reinforcement learning and blockchain is revealed, the shortcomings in the construction and utilization of EHRs database in China are identified, and relevant suggestions and countermeasures are proposed.

     

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