摘要
对PubMed数据库收录的近3年生物医学领域人工智能相关文献中出现的高频主题词进行聚类分析,根据聚类结果梳理分析当前该领域研究热点,包括临床医学、生物信息两个方面的5个主题,即疾病的计算机辅助诊断、中风康复脑状态分类和阿尔兹海默病检测、生物识别、生物神经系统研究。
A cluster analysis is carried out on the high-frequency subject terms appearing in the literatures related to Artificial Intelligence(AI) in biomedical field in recent three years included in PubMed database.According to the clustering results,the paper analyzes the current study hotspots in this field,including five topics of clinical medicine and bioinformation,namely,computer-aided diagnosis of diseases,classification of brain states for stroke rehabilitation and detection of Alzheimer’s disease,biometrics,biological nervous system study.
作者
武文斐
田芳慧
宋旭
王晓璇
马明峰
张庆
WU Wenfei;TIAN Fanghui;SONG Xu;WANG Xiaoxuan;MA Mingfeng;ZHANG Qing(School of Medical Information Engineering,Jining Medical University,Rizhao 276800,China)
出处
《医学信息学杂志》
CAS
2020年第2期34-38,共5页
Journal of Medical Informatics
关键词
人工智能
生物医学
研究热点
聚类分析
Artificial Intelligence(AI)
biomedicine
study hotspots
cluster analysis