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作 者:马小明 刘永涛[1] 陈晓楠 MA Xiao-ming;LIU Yong-tao;CHEN Xiao-nan(The Second Affiliated Hospital of Hebei North University,Zhangjiakou 075100 China)
机构地区:[1]河北北方学院附属第二医院,河北张家口075100
出 处:《自动化技术与应用》2023年第2期101-104,共4页Techniques of Automation and Applications
摘 要:因当前数据库调度信息资源性能差,提出基于云计算技术的医院信息资源集成数据库构建。采用BP神经网络算法正向挖掘信息资源,逆向修正资源挖掘误差,运用云计算技术中的分布式数据存储技术和并行计算技术,建立集成模型集成医院信息资源;采用自下向上的方式设计信息查询模式,完善信息资源管理过程。通过与现有两种方法的实验对比,证明在应用客户端分别为5和20的数量条件下,构建数据库调度医院信息资源数量较多,调度性能较好。Due to the poor performance of database scheduling information resources, a hospital information resources integration database based on cloud computing technology is proposed. BP neural network algorithm is used to mine information resources forward,reverse correct resource mining errors, and establish an integrated model to integrate hospital information resources by using distributed data storage technology and parallel computing technology in cloud computing technology. The information query mode is designed in a bottom-up way to improve the information resource management process. Through the experimental comparison with the existing two methods, it is proved that when the number of application clients is 5 and 20 respectively, the construction of database scheduling hospital information resources has more quantity and better scheduling performance.
分 类 号:TP392[自动化与计算机技术—计算机应用技术]
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