BERT模型应用于医学的文献计量可视化研究

Research on bibliometric visualization of BERT model applications in medicine

梳理总结现阶段BERT模型应用于医学中的研究热点和未来发展趋势,为我国医学信息化提供参考和建议。采用文献计量学方法,收集整理Web of Science数据库核心集(WoSCC)中从2018年1月1日至2022年12月31日医学应用BERT模型的相关文献并进行分析。经筛选共纳入267篇文献。研究显示BERT主要应用在西医领域;参研国家主要为中国和美国,其他国家涉猎较少;作者单位分布呈现以高校为主,医疗机构及科研院所、政府机关等为辅的特征;研究内容主要聚焦于医疗信息抽取、命名实体识别等。中医领域应用BERT模型较早,但目前尚处于起步阶段,而我国健康卫生保障体系中西医并重,未来研究可围绕BERT如何促进中医信息化方面进一步扩展。

This paper summarizes the current research hotspots and future development trends of BERT model in the medicine,and offers valuable reference and suggestions for medical IT application in China.Literature related to BERT model in medical application from Web of Science Database Core Set(WoSCC)from January 1,2018 to December 31,2022 was collected and analyzed by bibliometrics method.A total of 267 literatures were selected and included.The findings reveal that BERT models were mainly applied in Western medicine.Moreover,a significant proportion of the research originates from China and the United States,while other countries are less involved.In terms of author affiliations,universities exhibit a prominent presence,while medical institutions,research institutes,and government agencies play a supporting role.The research mainly focuses on medical information extraction,named entity recognition,and related topics.Notably,BERT model was applied earlier in the field of Traditional Chinese Medicine(TCM),but it is still in the initial stage.As China′s healthcare system attaches equal importance to TCM and Western medicine,future research endeavors should extend to explore how BERT models can further facilitate IT application in TCM.