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作 者:林沛钰 单丽明 方小芳 陈佳佳 杨旭艳 宁丽[2] LIN Peiyu;SHAN Liming;FANG Xiaofang;CHEN Jiajia;YANG Xuyan;NING Li(Department of Hematology,Hangzhou First People’s Hospital,Hangzhou 310006,Zhejiang,China;Department of Nursing,Hangzhou First People’s Hospital,Hangzhou 310006,Zhejiang,China)
机构地区:[1]杭州市第一人民医院血液内科,浙江杭州310006 [2]杭州市第一人民医院护理部,浙江杭州310006
出 处:《中国现代医生》2024年第24期41-49,共9页China Modern Doctor
基 金:杭州市医学重点学科项目(OO20200265);中华护理杂志社2023年静脉治疗护理专项科研项目(ZHHLZZS-202339)。
摘 要:目的分析重症医学病房(intensive care unit,ICU)中数智化技术研究领域的热点及趋势。方法检索Web of Science核心数据库、中国知网、万方数据知识服务平台、维普中文期刊服务平台收录的ICU数智化技术应用文献,检索时限为建库至2023年12月12日。应用CiteSpace软件进行可视化分析。结果最终纳入中文文献700篇、英文文献1705篇。结论中文文献共形成18个聚类,包括智能手机、数据挖掘、室性早搏、脓毒血症等。英文文献共形成17个聚类,包括深度学习、专家系统、自然语言处理、生理特征等。其中风险预测模型、临床决策支持是未来研究的趋势。通过拓宽疾病和人群范围、联合人工智能研发可穿戴设备和智能检测云系统、机器人等是未来ICU数智化技术应用领域的发展趋势。Objective To analyze the hot spots and trends of digital intelligence technology research in intensive care unit(ICU).Methods ICU digital intelligence technology related literature collected in Web of Science core database,China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,VIP Chinese Journal Service Platform were searched,and the retrieval period is from the establishment of the database to December 12,2023,and visualized analysis was performed by CiteSpace software.Results 700 Chinese literatures and 1705 English literatures were included.Conclusion A total of 18 clusters were formed in Chinese literature,including smart phones,data mining,ventricular premature beats,sepsis,etc.A total of 17 clusters were formed in English literature,including deep learning,expert systems,natural language processing,physiological characteristics,etc.Among them,risk prediction model and clinical decision support are the trends of future research.Conclusion By broadening the scope of diseases and populations,joint artificial intelligence research and development of wearable devices and intelligent detection cloud systems,robots,etc.,is the development trend of the future application field of ICU digital intelligence technology.
分 类 号:R197[医药卫生—卫生事业管理]
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