国外医学领域模糊逻辑研究主题分析  

Study on Research Topic of Fuzzy Logic in Medical Field in Foreign Countries

作　　者：孙月[1,2] 石晶晶 刘凡莹 陈苗 庞佳昊 杨克虎 田金徽[1,2,3] SUNYue;SHI Jingjing;LIU Fanying;CHEN Miao;PANG Jiahao;YANG Kehu;TIAN Jinhui(The School of Nursing,Lanzhou University,Gansu Lanzhou 730000,China;Evidence-based Medicine Center,School of Basic Medical Scienees,Lanzhou University,Gansu Lanzhou 730000,China;Key Laboratory of Evidence-based Medicine and Knowledge Translation of Gansu Province,Lanzhou University,Gansu Lanzhou 730000,China)

机构地区：[1]兰州大学护理学院,甘肃兰州730000 [2]兰州大学循证医学中心,兰州大学基础医学院,甘肃兰州730000 [3]甘肃省循证医学与临床转化重点实验室,兰州大学,甘肃兰州730000

出　　处：《中国医药导刊》2018年第6期369-373,共5页Chinese Journal of Medicinal Guide

基　　金：甘肃省智慧医疗工程实验室开放基金(项目编号:20170101;项目名称:国内外人工智能研究主题分析);甘肃省循证医学与临床转化重点实验室开放基金(项目编号:20170203;项目名称:循证医学方法学研究)

摘　　要：目的:通过对国外医学领域模糊逻辑相关研究进行可视化分析,以期为国内学者开展医学领域模糊逻辑研究提供借鉴和参考。方法:计算机检索Pub Med数据库获取模糊逻辑研究,采用书目共现分析系统(BICOMS-2)分析软件对发表时间、期刊、作者和主题词进行抽取和整理;采用Net Draw绘制作者和主题词社会网络分析图;采用g CLUTO 2.0软件对主题词进行聚类分析。结果:最终纳入3 951篇模糊逻辑研究、38个国家的10 027名作者和2个团队参与发表,发表地区之间存在不均衡性,国家之间缺乏合作,形成合作团队数量较少。研究主题主要集中在大脑核磁共振/乳腺肿瘤X射线的图像处理/解释;利用模糊逻辑/人工智能/计算机模型对肿瘤的生理检测/临床反馈两个方面。结论:医学领域模糊逻辑外文研究数量一直呈稳定增长的趋势,近几年发表数量有所下降;参与的作者和国家存在不平衡性,跨区域和国家间合作少见,作者之间的合作需进一步加强,地区交流有待进一步提高,研究主题仍需进一步拓展。Objective ： To analysis the study of fuzzy logic in medical field in the world by making a visual analysis, so as to provide the references to carry out related research for lhe Chinese researchers. Methods ： PubMed was searched to obtain the foreign researches on the fuzzy logic. The related publication time, journal, author and medical subject heading（MESH） were extracted and produced co-matrix by BICOMS-2 analysis software. The network diagram of author and MeSH were drawn by NetDraw, at the same time, cluster analysised by gCLUTO. Results：A total of 3951 studies involving 38 countries, 10027 authors and 2 research teams were included, there was an im-balance between regions, and lack of cooperation between countries, and formation of cooperative teams. The studies focused on 2 re-search topics, the imaging/interpretation of MRI/breast tumor X-ray and physiological detection/clinical feedback of tumors using fuzzy logic/artificial intelligence/computer model. Conclusion ：The number of studies of fuzzy logic is on the rise, and there is an imbalance in the authors and countries. The cooperation between authors and countries needs to be further strengthened. The research topic still needs to be expanded.

关 键 词：模糊逻辑 模糊理论 人工智能 合作情况 主题分析 

分 类 号：B815.6[哲学宗教—逻辑学] R319[医药卫生—基础医学]