Journal article

Passive Health Monitoring Using Large Scale Mobility Data

Y Zhang, F Xu, T Li, V Kostakos, P Hui, Y Li

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies | ACM | Published : 2021


In this paper, we investigate the feasibility of using mobility patterns and demographic data to predict hospital visits. We collect mobility traces from two thousand users for around two months. We extract 16 mobility features from these passively collected mobility traces and train an XGBoost model to predict users' hospital visits. We demonstrate that the designed mobility features can significantly improve prediction accuracy (p < 0.01, AUC = 0.79). We further analyze how these mobility features affect the prediction results and measure their importance by using Shapley additive explanation values. We discover that users with less mobility activity, less visit diversity, and few sports f..

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