8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Transformer Model Detects Antidepressant Use From a Single Night of Sleep, Unlocking an Adherence Biomarker
Ali Mirzazadeh, Simon Cadavid, Kaiwen Zha +10
Antidepressant nonadherence is pervasive, driving relapse, hospitalization, suicide risk, and billions in avoidable costs. Clinicians need tools that detect adherence lapses prompt…
cs.LG2023★ 8 cited
Mixed Effects Random Forests for Personalised Predictions of Clinical Depression Severity
Robert A. Lewis, Asma Ghandeharioun, Szymon Fedor +3
This work demonstrates how mixed effects random forests enable accurate predictions of depression severity using multimodal physiological and digital activity data collected from a…