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医疗应急预案信息监管系统研究与实现

发布日期:2016-07-25
作者:
马冬① 胡呈炜① 吉亚力① 王晖① 陈宇行*
Author:
MA Dong, HU Cheng-wei, JI Ya-li, et
al
单位:
关键词:
信息监管系统 网络监听 异常检测 日志数据挖掘 模式匹配
Keywords:
information monitoring system, network monitoring, anomaly detection, log data mining, pattern matching
分类号:R319
出版年,卷(期):页码:2016,11(6):51-54
摘要:
突发事故发生时,针对不同事故类型从预案管理系统中生成应急医疗预案,而大量多类型的应急预案及时更新、调阅,会导致服务数据出现冗余、延时。针对这一问题展开研究,提出一套医疗应急预案信息监管系统,通过网络监听与流量异常检测等网络异常诊断技术,对服务器所处网络环境进行诊断与评估;通过日志数据频繁模式挖掘算法与异常检测模式匹配算法等日志数据挖掘技术,对服务器故障进行判断并报警。最终实现网络环境与服务器维护的信息化管理。
Abstract:
Generating plans for different types of accidents from emergency medical plan management system when the accident occurred, and a lot more types of contingency plans up to date, access to, will lead to the emergence of service data redundancy, delay. Expand research to solve this problem this paper proposes a medical emergency plan information monitoring system, abnormal diagnostic technology through the network monitoring and traffic anomaly detection network, a network environment on the server for diagnosis and assessment; log data mining algorithm with frequent patterns anomaly detection pattern matching algorithm and other log data mining technology, the server fault judge and the police. The ultimate realization of the network environment and server maintenance of information management.
基金项目:
国家“十二五”科技支撑计划项目(编号:2013BAH02B01)
参考文献:
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