Bibliometrics and Knowledge Graph Analysis of Digital Twin in the Field of Medicine and Health
CUI Yu1, SUN Yanshun1, YU Lili2
1. School of Public Health, Weifang Medical College, Weifang Shandong 261053, China;
2. Center of Medical Data, The 960 Hospital of PLA, Jinan Shandong 250031, China
Abstract：Objective To analyze the research status and development trend of adverse events of digital twin in the field of medicine
and health by bibliometrics. Methods Literatures published about digital twin in the field of medicine and health were retrieved
from CNKI, Wanfang, VIP, PubMed and Web of Science databases from the establishment of the database to October 15, 2022.
NoteExpress was used for review and screening, and VOSviewer was used for knowledge graph analysis. Results Since 2021, the
literature volume of digital twin in the field of medicine and health has increased significantly, and Journal of Medical Ethics has
published the most literatures (8 articles), Mohammed and Shamanna were the most published authors (9 articles), while Maastricht
University in the Netherlands was the most published institution (9 articles). The focus of attention included the combination of
digital twin with emerging technologies such as machine learning and artificial intelligence, and its application in areas such as
personalized medicine. Conclusion At present, the research of digital twin has attracted more attention in the field of medicine and
health, its application is still limited, but the potential for digital twin to combine with data, knowledge and algorithms is huge.
崔钰1，孙彦顺1，于莉莉2. 医药卫生领域数字孪生相关文献
计量与知识图谱分析[J]. 中国医疗设备, 2023, 38(10): 119-125.
CUI Yu1, SUN Yanshun1, YU Lili2. Bibliometrics and Knowledge Graph Analysis of Digital Twin in the Field of Medicine and Health. China Medical Devices, 2023, 38(10): 119-125.
