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Case Study: IBM Watson Analytics Cloud Platform as Analytics-as-a-Service System for Heart Failure Early Detection

机译:案例研究:IBM Watson Analytics Cloud Platform作为心衰早期检测的分析即服务系统

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In the recent years the progress in technology and the increasing availability of fast connections have produced a migration of functionalities in Information Technologies services, from static servers to distributed technologies. This article describes the main tools available on the market to perform Analytics as a Service (AaaS) using a cloud platform. It is also described a use case of IBM Watson Analytics, a cloud system for data analytics, applied to the following research scope: detecting the presence or absence of Heart Failure disease using nothing more than the electrocardiographic signal, in particular through the analysis of Heart Rate Variability. The obtained results are comparable with those coming from the literature, in terms of accuracy and predictive power. Advantages and drawbacks of cloud versus static approaches are discussed in the last sections.
机译:近年来,技术的进步和快速连接的可用性不断提高,已导致信息技术服务的功能从静态服务器迁移到分布式技术。本文介绍了市场上可用的主要工具,这些工具可使用云平台执行分析即服务(AaaS)。还描述了IBM Watson Analytics(一种用于数据分析的云系统)的用例,该用例应用于以下研究范围:仅使用心电图信号即可检测出是否存在心力衰竭疾病,尤其是通过分析心脏利率差异。就准确性和预测能力而言,所获得的结果可与文献中的结果相媲美。在最后几节中讨论了云方法与静态方法的优缺点。

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