E. Fekas

Relapse Prediction from Long-Term Wearable Data Using Self-Supervised Learning and Survival Analysis

The introduction of biometric signal analysis in psychiatry could potentially reshape the field by making it more accurate, proactive and personalized. Such biosignals usually acquired from wearables encompass the quantification of human behavior and traits. In this study, we use long-term data acqu…