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DISCOVERING ADVERSE HEALTH EVENTS VIA BEHAVIORAL DATA

机译:通过行为数据发现不良健康事件

摘要

Aspects of the subject disclosure are directed towards processing search logs and/or other large scale data sources to detect medical related-effects. For example, an anomalous number of queries regarding a particular symptom and a drug may indicate the existence of a previously unknown side-effect of the drug. Side effects of drug interactions may also be found by processing behavioral data such as queries and social network posts. Also described is the generation of symptom spectra data that is processed to detect anomalies and the like in user behavior corresponding to medical related-effects.
机译:本主题公开的方面针对处理搜索日志和/或其他大规模数据源以检测医学相关效果。例如,关于特定症状和药物的查询数量异常可能表明该药物存在先前未知的副作用。药物相互作用的副作用也可以通过处理行为数据(例如查询和社交网络帖子)来发现。还描述了症状谱数据的生成,该症状谱数据被处理以检测与医疗相关效果相对应的用户行为中的异常等。

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