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基于云的智能系统,用于提供医疗保健即服务。

Cloud based intelligent system for delivering health care as a service.

机构信息

Computer Science and Engineering Department, Thapar University, Patiala, India.

出版信息

Comput Methods Programs Biomed. 2014;113(1):346-59. doi: 10.1016/j.cmpb.2013.09.013. Epub 2013 Sep 27.

Abstract

The promising potential of cloud computing and its convergence with technologies such as mobile computing, wireless networks, sensor technologies allows for creation and delivery of newer type of cloud services. In this paper, we advocate the use of cloud computing for the creation and management of cloud based health care services. As a representative case study, we design a Cloud Based Intelligent Health Care Service (CBIHCS) that performs real time monitoring of user health data for diagnosis of chronic illness such as diabetes. Advance body sensor components are utilized to gather user specific health data and store in cloud based storage repositories for subsequent analysis and classification. In addition, infrastructure level mechanisms are proposed to provide dynamic resource elasticity for CBIHCS. Experimental results demonstrate that classification accuracy of 92.59% is achieved with our prototype system and the predicted patterns of CPU usage offer better opportunities for adaptive resource elasticity.

摘要

云计算具有广阔的发展前景,它与移动计算、无线网络、传感器技术等技术的融合,为新型云计算服务的创建和交付提供了可能。在本文中,我们提倡使用云计算来创建和管理基于云的医疗保健服务。作为一个代表性的案例研究,我们设计了一个基于云的智能医疗保健服务 (CBIHCS),它可以实时监测用户的健康数据,用于诊断糖尿病等慢性病。先进的身体传感器组件用于收集用户特定的健康数据,并存储在基于云的存储库中,以便进行后续分析和分类。此外,还提出了基础设施级别的机制,为 CBIHCS 提供动态资源弹性。实验结果表明,我们的原型系统实现了 92.59%的分类准确率,并且 CPU 使用情况的预测模式为自适应资源弹性提供了更好的机会。

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