Neurology | Psychiatry Detecting major depressive disorder presence using passively-collected wearable movement data in a nationally-representative sample. January 9, 2024
Neurology | Psychiatry An unsupervised machine learning approach using passive movement data to understand depression and schizophrenia. August 14, 2022
Machine Learning | Physiotherapy | Psychiatry Association of Selective Serotonin Reuptake Inhibitor Use With Abnormal Physical Movement Patterns as Detected Using a Piezoelectric Accelerometer and Deep Learning in a Nationally Representative Sample of Noninstitutionalized Persons in the US. April 7, 2022
Digital Health | Psychiatry Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments. January 14, 2022
Primary Care | Psychiatry Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligence. January 22, 2021
Digital Health | Longitudinal Studies | Psychiatry Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17-18 years. January 5, 2021