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基于网格平台的肿瘤数据交互系统设计

[Tumor Data Interacted System Design Based on Grid Platform].

作者信息

Liu Ying, Cao Jiaji, Zhang Haowei, Zhang Ke

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2016 Jun;33(3):473-80.

PMID:29709146
Abstract

In order to satisfy demands of massive and heterogeneous tumor clinical data processing and the multi-center collaborative diagnosis and treatment for tumor diseases,a Tumor Data Interacted System(TDIS)was established based on grid platform,so that an implementing virtualization platform of tumor diagnosis service was realized,sharing tumor information in real time and carrying on standardized management.The system adopts Globus Toolkit 4.0tools to build the open grid service framework and encapsulats data resources based on Web Services Resource Framework(WSRF).The system uses the middleware technology to provide unified access interface for heterogeneous data interaction,which could optimize interactive process with virtualized service to query and call tumor information resources flexibly.For massive amounts of heterogeneous tumor data,the federated stored and multiple authorized mode is selected as security services mechanism,real-time monitoring and balancing load.The system can cooperatively manage multi-center heterogeneous tumor data to realize the tumor patient data query,sharing and analysis,and compare and match resources in typical clinical database or clinical information database in other service node,thus it can assist doctors in consulting similar case and making up multidisciplinary treatment plan for tumors.Consequently,the system can improve efficiency of diagnosis and treatment for tumor,and promote the development of collaborative tumor diagnosis model.

摘要

为满足海量异构肿瘤临床数据处理及肿瘤疾病多中心协同诊疗需求,基于网格平台构建了肿瘤数据交互系统(TDIS),实现肿瘤诊断服务的虚拟化平台,实时共享肿瘤信息并进行标准化管理。该系统采用Globus Toolkit 4.0工具构建开放网格服务框架,并基于Web服务资源框架(WSRF)封装数据资源。系统利用中间件技术为异构数据交互提供统一访问接口,可优化与虚拟化服务的交互过程,灵活查询和调用肿瘤信息资源。针对海量异构肿瘤数据,选择联邦存储和多重授权模式作为安全服务机制,实时监控并均衡负载。该系统可协同管理多中心异构肿瘤数据,实现肿瘤患者数据查询、共享与分析,并在其他服务节点的典型临床数据库或临床信息数据库中比对和匹配资源,从而辅助医生查阅相似病例并制定肿瘤多学科治疗方案。因此,该系统可提高肿瘤诊疗效率,推动肿瘤协同诊断模式发展。

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