应用大数据防范互联网号贩子的实践  

Practice of Applying Big Data for Prevention of Web Registration Traffickers

作　　者：李超峰[1] 马嘉潜 何荣[1] 肖华锋[2] 何彩升[1] 

机构地区：[1]中山大学附属肿瘤医院信息科,广州510080 [2]中山大学精准医学中心,广州510080

出　　处：《医学信息学杂志》2017年第2期65-68,共4页Journal of Medical Informatics

摘　　要：以中山大学附属肿瘤医院利用大数据防范号贩子的实践为基础,从挂号异常、退号异常、异常抢号、异常用户绑定几方面分析技术型号贩子恶意占号的行为特征,制定对应的技术方案和应对措施,限制号贩子利用预约系统恶意挂号,确保医疗资源公平公正地分配到患者手中。Based on Sun Yat-Sen University Cancer Hospitals practice of applying big data for prevention of registration traffickers,the paper analyzes the behavioral characteristics of technology-based registration traffickers＇ malicious occupation from the aspects of abnormal registration,abnormal withdrawal,abnormal grab and abnormal user binding,makes the corresponding technical plans and countermeasures,so as to limit the malicious registration of registration traffickers using the reservation system and guarantee the medical resources can be distributed to patients fairly and impartially.

关 键 词：互联网 大数据 号贩子 

分 类 号：R197.5[医药卫生—卫生事业管理]