医疗保健传感器数据的挖掘:一项调查

D. Sow, K. Turaga, D. Turaga, J. M. Schmidt
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引用次数: 35

摘要

从历史上看,医疗保健主要以一种被动的方式提供,这限制了它的有用性。随着传感器技术的进步,世界上的仪器为更好地观察患者的生理信号提供了独特的机会,以便以更主动的方式提供医疗保健。为了实现这一目标,必须能够分析患者数据并使用数据挖掘将其转化为可操作的信息。本章调查了传感器数据挖掘技术在医疗保健中的现有应用。它首先描述了医疗保健数据挖掘的挑战,然后概述了数据挖掘在临床和非临床环境中的应用。
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Mining of Sensor Data in Healthcare: A Survey
Historically, healthcare has been mainly provided in a reactive manner that limits its usefulness. With progress in sensor technologies, the instrumentation of the world has offered unique opportunities to better observe patients physiological signals in order to provide healthcare in a more proactive manner. To reach this goal, it is essential to be able to analyze patient data and turn it into actionable information using data mining. This chapter surveys existing applications of sensor data mining technologies in healthcare. It starts with a description of healthcare data mining challenges before presenting an overview of applications of data mining in both clinical and non clinical settings.
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