Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy

by   Yongzhen Wang, et al.

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.



page 1

page 2

page 3

page 4


Statistical approaches using longitudinal biomarkers for disease early detection: A comparison of methodologies

Early detection of clinical outcomes such as cancer may be predicted bas...

A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection

In ophthalmology, early fundus screening is an economic and effective wa...

Private Delivery Networks – Extended Abstract

The past decade has seen tremendous shifts in how people live, work, and...

Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs

Objective: To combine medical knowledge and medical data to interpretabl...

Disease Identification From Unstructured User Input

The increasing number of Internet users leads to the rapid popularizatio...

Detecting Individuals with Depressive Disorder fromPersonal Google Search and YouTube History Logs

Depressive disorder is one of the most prevalent mental illnesses among ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.