204 citations · 382 across the 11 of their papers we have counts for
3 papers · 1 filter
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis
Shaoxiong Sun, Amos A. Folarin, Yuezhou Zhang +28
A number of challenges exist for the analysis of mHealth data: maintaining participant engagement over extended time periods and therefore understanding what constitutes an accepta…
Bayesian Networks for the robust and unbiased prediction of depression and its symptoms utilizing speech and multimodal data
Salvatore Fara, Orlaith Hickey, Alexandra Georgescu +3
Predicting the presence of major depressive disorder (MDD) using behavioural and cognitive signals is a highly non-trivial task. The heterogeneous clinical profile of MDD means tha…
Detecting the Severity of Major Depressive Disorder from Speech: A Novel HARD-Training Methodology
Edward L. Campbell, Judith Dineley, Pauline Conde +7
Major Depressive Disorder (MDD) is a common worldwide mental health issue with high associated socioeconomic costs. The prediction and automatic detection of MDD can, therefore, ma…