Ubiquitous internet access is reshaping the way we live, but it is accompanied by unprecedented challenges to prevent chronic diseases planted in long exposure to unhealthy lifestyles. This paper proposes leveraging online shopping behaviors as a proxy for personal lifestyle choices to freshen chronic disease prevention literacy targeted for times when e-commerce user experience has been assimilated into most people's daily life. Here, retrospective longitudinal query logs and purchase records from millions of online shoppers were accessed, constructing a broad spectrum of lifestyle features covering assorted product categories and buyer personas. Using the lifestyle-related information preceding their first purchases of prescription drugs, we could determine associations between online shoppers' past lifestyle choices and if they suffered from a particular chronic disease. Novel lifestyle risk factors were discovered in two exemplars -- depression and diabetes, most of which showed cognitive congruence with existing healthcare knowledge. Further, such empirical findings could be adopted to locate online shoppers at high risk of chronic diseases with fair accuracy (e.g., [area under the receiver operating characteristic curve] AUC=0.68 for depression and AUC=0.70 for diabetes), closely matching the performance of screening surveys benchmarked against medical diagnosis. Unobtrusive chronic disease surveillance via e-commerce sites may soon meet consenting individuals in the digital space they already inhabit.
翻译:本文建议利用在线购物行为作为个人生活方式选择的替代物,作为个人生活方式选择的替代物,在电子商务用户的经验被吸收到大多数人的日常生活中,针对电子商务用户的经验被吸收到大多数人的日常生活中的时候,进行新鲜慢性疾病预防扫盲。在这里,可以使用追溯性纵向查询日志和数百万在线购物者的购买记录,建立包括各种产品类别和买主在内的广泛生活方式特征。利用首次购买处方药品之前与生活方式有关的信息,我们可以确定网上购物者以往生活方式选择之间的关联,如果他们患有某种特定慢性疾病。在两种Explaers -- -- 抑郁症和糖尿病 -- -- 中发现了新颖的生活方式风险因素,其中多数显示了与现有保健知识的认知一致性。此外,可以采用这种经验调查结果,将网上购物者置于较高的慢性疾病风险中,并且准确无误地定位(例如,[在接收者运行特征曲线下的地区]AUC=0.68,对于抑郁症和AUC=0.70糖尿病而言,他们可以通过空间测试站点密切地进行长期监控。