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Scientists mine web search data to identify epidemics and adverse events

机译:科学家挖掘网络搜索数据以识别流行病和不良事件

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AS INDIVIDUALS INCREASINGLY turn to "Dr Google" when a health concern arises, scientists are looking into ways to use the data from these searches to create early warning systems about emerging public health problems-from flu epidemics to drug adverse events. Already, to help identify emerging influenza epidemics, public health authorities are using Google Flu Trends, which uses an algorithm to estimate the incidence of flu in the United States based on Google searches for certain flu-related words. Search data also might offer more timely warnings about drug interactions or adverse events than traditional surveillance systems, new evidence suggests.
机译:随着人们对健康的关注越来越多地转向“ Google博士”,科学家们正在研究使用这些搜索数据创建有关新兴公共卫生问题(从流感流行病到药物不良事件)的预警系统的方法。为了帮助识别新出现的流感流行病,公共卫生部门正在使用Google Flu Trends,该趋势使用一种算法,可以根据Google搜索某些与流感相关的词来估算美国的流感发生率。新证据表明,与传统的监视系统相比,搜索数据还可能提供有关药物相互作用或不良事件的更及时的警告。

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