ICU患儿人工智能应用研究热点的可视化分析  

Artificial intelligence-basedd.techniquesapplied to critical ill children:a bibliometric analysis

作　　者：张碧霞 沈南平[1] 石松松 王浩[1] 韩挺 沈碧玉 ZHANG Bixia;SHEN Nanping;SHI Songsong;WANG Hao;HAN Ting;SHEN Biyu

机构地区：[1]上海交通大学医学院附属上海儿童医学中心,上海市200120 [2]上海交通大学设计学院

出　　处：《中华急危重症护理杂志》2023年第10期898-903,共6页Chinese Journal of Emergency and Critical Care Nursing

基　　金：上海高水平地方高校创新团队项目(SHSMU-ZDCX20212800);2022年上海交通大学医学院护理学科人才队伍建设项目(沪交医护[2022]1号)。

摘　　要：目的探讨人工智能在ICU患儿中应用的研究现状与关注热点。方法检索Web of Science核心数据库,应用Citespace 5.6.R5可视化软件对该领域研究的发文量趋势变化、关键词共现与突现词进行可视化。结果检索获取202篇文献,156篇文献符合纳入标准。自2016年以来,该领域发文量呈持续快速增长趋势;机器学习、深度学习、人工神经网络、死亡率、风险及评分等关键词出现频次较高。结论早期预测是该领域受关注的研究热点与研究前沿,然而目前较多研究仅停留开发阶段,未来仍需要大规模数据对其进行验证。Objective To explore the research situation and focuses in the field of artificial intelligence-based techniques applied to critical ill children.Methods Web of Science core database was retrieved and Citespace 5.6.R5 visualization software was applied to visualize the trend changes in publication volume,keyword cooccurrence,and emergent words of research in this field.Results Since 2016,there was a continually,rapidly increasing tendency for publication.Keywords"machine learning","deep learning","artificial neural network","mortality","risk"and"score"occur frequently.Conclusion Early prediction is the main research frontier and the hot topic in field.At present,many studies are only in the development stage,and large-scale data verification is still needed in the future.

关 键 词：人工智能 危重病护理 儿童 文献计量学 

分 类 号：G353.1[文化科学—情报学] R473.72[医药卫生—护理学]