老年健康领域人工智能应用研究热点的共词聚类分析

目的回顾老年健康领域人工智能应用的研究热点,探索其发展趋势。方法基于PubMed数据库,检索2009年1月1日至2018年12月31日发表的相关文献,使用书目信息数据挖掘系统2.0和图形聚类工具包对文献主题词进行词频分析和图形聚类分析。结果共纳入310篇文献。以欧美等发达国家为主,共有21个国家进行了该方面研究。2009—2013年获得19个高频主题词,分析出2个研究热点:智能健康监测、机器人辅助手术治疗;2014—2018年获得31个高频主题词及4个研究热点:机器人辅助手术治疗、机器人在老年卫生保健中的应用、智能健康监测及机器学习用于疾病风险预测。结论手术机器人与智能健康监测的发展应用是该领域学者一直关注的焦点问题;近5年来,机器人在老年卫生保健中的应用以及通过机器学习预测疾病风险逐渐成为新的研究热点。我国学者应密切关注该领域的发展前沿,并将其合理地用于国内实践,以更好地促进人工智能在我国老年健康领域的应用及发展。

Prominent issues surrounding artificial intelligence utilization in geriatric healthcare:a co-word cluster analysis

Objective To analyze key issues and developing trends surrounding the use of artificial intelligence in geriatric healthcare.Methods Both bibliometric and cluster analyses were used to analyze literature from PubMed,published from 2009 to 2018,using Bicomb 2.0 and gCLUTO software.Results A total of 310 articles,published from 21 countries,were included—with most of them originating from developed nations.For the period of 2009 to 2013,19 high-frequency subject words were obtained,with two research hotspots being clustered,including“intelligent health monitoring”and“robot assisted surgery.”For the period of 2014 to 2018,31 high-frequency subject words were obtained,with the research focusing mainly on four fields:robot assisted surgery,application of robots in geriatric healthcare,intelligent health monitoring,and machine learning for disease risk predictions.Conclusions Both the development and application of intelligent health monitoring systems and robot assisted surgeries have been a key focus of scholars in this field.In the past five years,the application of robots in geriatric healthcare,as well as machines learning disease risk predictions,have become new and prominent research hotspots.Chinese scholars should therefore pay close attention to the frontiers of this field and apply them within domestic practice,so as to better promote the increased application and development of artificial intelligence in geriatric healthcare in China.