Individualized Dynamic Model for Multi-resolutional Data with Application to Mobile Health

arXiv:2311.12392v3 Announce Type: replace-cross
Abstract: Mobile health has emerged as a major success for tracking individual health status, due to the popularity and power of smartphones and wearable devices. This has also brought great challenges in handling heterogeneous, multi-resolution data which arise ubiquitously in mobile health due to irregular multivariate measurements collected from individuals. In this paper, we propose an individualized dynamic latent factor model for irregular multi-resolution time series data to interpolate unsampled measurements of time series with low …

abstract application arxiv challenges data devices dynamic health major math.st mobile power resolution smartphones stat.me stat.ml stat.th success tracking type wearable wearable devices