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用于从多个来源检测健康事件的事件驱动架构。

Event-driven architecture for health event detection from multiple sources.

作者信息

Denecke Kerstin, Kirchner Göran, Dolog Peter, Smrz Pavel, Linge Jens, Backfried Gerhard, Dreesman Johannes

机构信息

L3S Research Center, Hannover, Germany.

出版信息

Stud Health Technol Inform. 2011;169:160-4.

Abstract

Early detection of potential health threats is crucial for taking actions in time. It is unclear in which information source an event is reported first and, information from various sources can be complementing. Thus, it is important to search for information in a very broad range of sources. Furthermore, real-time processing is necessary to deal with the huge amounts of incoming data in time. Event-driven architectures are designed to address such challenges. This will be shown in this paper by presenting the architecture of a public health surveillance system that follows this style. Starting from concrete user requirements and scenarios, we introduce the architecture with its components for content collection, data analysis and integration. The system will allow for the monitoring of events in real-time as well as retrospectively.

摘要

早期发现潜在的健康威胁对于及时采取行动至关重要。目前尚不清楚事件首先在哪个信息源被报道,而且来自各种来源的信息可以相互补充。因此,在非常广泛的来源中搜索信息很重要。此外,为了及时处理大量传入数据,实时处理是必要的。事件驱动架构旨在应对此类挑战。本文将通过展示遵循这种风格的公共卫生监测系统的架构来进行说明。从具体的用户需求和场景出发,我们介绍该架构及其用于内容收集、数据分析和集成的组件。该系统将允许实时以及回顾性地监测事件。

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