Fusing cardiac forecasting with multi-task sleep-motion learning on smartwatch data produces an 8% better psychotic relapse detector than the prior competition winner.
Unsupervised relapse detection using wearable-based digital phenotyping for the 2nd e-prevention challenge
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Uncertainty-Driven Anomaly Detection for Psychotic Relapse Using Smartwatches: Forecasting and Multi-Task Learning Fusion
Fusing cardiac forecasting with multi-task sleep-motion learning on smartwatch data produces an 8% better psychotic relapse detector than the prior competition winner.