Blanquer Ignacio, Hernández Vicente, Segrelles Damià, Robles Montserrat, García Juan Miguel, Robledo Javier Vicente
Universidad Politécnica de Valencia, Departamento de Sistemas Informáticos y Computación, Camino de Vera s/n, 46022 Valencia, Spain.
Stud Health Technol Inform. 2005;112:80-9.
This paper presents an architecture defined for searching and executing Clinical Decision Support Systems (CDSS) in a LCG2/GT2 Grid environment, using web-based protocols. A CDSS is a system that provides a classification of the patient illness according to the knowledge extracted from clinical practice and using the patient's information in a structured format. The CDSS classification engines can be installed in any site and can be used by different medical users from a Virtual Organization (VO). All users in a VO can consult and execute different classification engines that have been installed in the Grid independently of the platform, architecture or site where the engines are installed or the users are located. The present paper present a solution to requirements such as short-job execution, reducing the response delay on LCG2 environments and providing grid-enabled authenticated access through web portals. Resource discovering and job submission is performed through web services, which are also described in the article.
本文介绍了一种在LCG2/GT2网格环境中使用基于Web的协议来搜索和执行临床决策支持系统(CDSS)的架构。临床决策支持系统是一种根据从临床实践中提取的知识并使用结构化格式的患者信息来对患者疾病进行分类的系统。CDSS分类引擎可以安装在任何站点,并可供虚拟组织(VO)中的不同医疗用户使用。VO中的所有用户都可以独立于引擎安装的平台、架构或站点以及用户所在位置,查询并执行已安装在网格中的不同分类引擎。本文提出了针对诸如短作业执行、减少LCG2环境中的响应延迟以及通过Web门户提供支持网格的认证访问等需求的解决方案。资源发现和作业提交通过Web服务执行,本文也对其进行了描述。