34 citations · 78 across the 17 of their papers we have counts for
4 papers · 1 filter
Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild
Han Yu, Thomas Vaessen, Inez Myin-Germeys +1
Multimodal wearable physiological data in daily life have been used to estimate self-reported stress labels. However, missing data modalities in data collection makes it challengin…
Patient-independent Schizophrenia Relapse Prediction Using Mobile Sensor based Daily Behavioral Rhythm Changes
Bishal Lamichhane, Dror Ben-Zeev, Andrew Campbell +9
A schizophrenia relapse has severe consequences for a patient's health, work, and sometimes even life safety. If an oncoming relapse can be predicted on time, for example by detect…
Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network
Han Yu, Asami Itoh, Ryota Sakamoto +2
Shift workers who are essential contributors to our society, face high risks of poor health and wellbeing. To help with their problems, we collected and analyzed physiological and…
Routine Clustering of Mobile Sensor Data Facilitates Psychotic Relapse Prediction in Schizophrenia Patients
Joanne Zhou, Bishal Lamichhane, Dror Ben-Zeev +2
We aim to develop clustering models to obtain behavioral representations from continuous multimodal mobile sensing data towards relapse prediction tasks. The identified clusters co…