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IDENTIFYING EVENTS FROM AGGREGATED DEVICE SENSED PHYSICAL DATA

机译:从聚集的设备感测的物理数据中识别事件

摘要

Aspects extend to methods, systems, and computer program products for predicting events from aggregated device sensed physical data. Aspects facilitate dynamically targeted collection and aggregation of physical metrics (e.g., body metrics and environmental metrics) from varying sensing devices. Aggregated data can be used for pattern analysis, reporting and predictive results on health related events (or other scenarios). Collected physical metric data can be anonymized or personalized based at least in part on data source. Pattern analysis can be used to report at different levels (e.g., personal or commercial, localized or global) and return relevant contextual driven results, including potential healthcare related events or other events relating to the study of changes that occur in large groups of people over a period of time (e.g., relating to demography).
机译:方面扩展到用于根据聚合的设备感测的物理数据来预测事件的方法,系统和计算机程序产品。方面促进了来自各种感测设备的物理指标(例如,身体指标和环境指标)的动态有针对性的收集和聚集。汇总数据可用于与健康相关的事件(或其他场景)的模式分析,报告和预测结果。可以至少部分基于数据源来对收集的物理度量数据进行匿名化或个性化。模式分析可用于在不同级别(例如,个人或商业,本地化或全球性)进行报告,并返回相关的上下文驱动结果,包括潜在的医疗保健相关事件或与研究大型人群中发生的变化有关的其他事件一段时间(例如,与人口统计学有关)。

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