Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches

LS Khoo, MK Lim, CY Chong, R McNaney - Sensors, 2024 - mdpi.com
As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …

Exploring recurrent neural network models for depression detection through facial expressions: A systematic literature review

BN Rumahorbo, B Pardamean… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Major Depressive Disorder (MDD) is a prevalent mental disorder, affecting a significant
number of individuals, with estimates reaching 300 million cases worldwide. Currently, the …

Multi-Task Learning Using Facial Features for Mental Health Screening

R Flores, A Shrestha, ML Tlachac… - … Conference on Big …, 2023 - ieeexplore.ieee.org
Major depressive disorder (MDD) and post-traumatic stress disorder (PTSD) are prevalent
mental health conditions with severe physical and social impacts. They are expensive and …

Bayesian Optimization with Tree Ensembles to Improve Depression Screening on Textual Datasets

T Zhao, ML Tlachac - IEEE Transactions on Affective …, 2024 - ieeexplore.ieee.org
Improving digital depression screening is important for combating the global mental health
crisis. Textual data are promising for depression screening due to their many origins, but the …

Systematic Literature Review of Transformer Model Implementations in Detecting Depression

K Nanggala, GN Elwirehardja… - 2023 6th International …, 2023 - ieeexplore.ieee.org
This systematic literature review explores the application of transformer models in early
detection of human depression, encompassing text, audio, and video data modalities …

DeepScreen: Boosting Depression Screening Performance with an Auxiliary Task

R Flores, A Shrestha… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Depression is a prevalent mental health condition with severe impacts on physical and
social health. It is costly and difficult to detect, requiring substantial time from trained mental …

Wearable Wellness: Depression Screening via Fitbit Data Collected During COVID-19 Pandemic

N Grozdani, A Muñoz, A Pietrick… - 2023 IEEE MIT …, 2023 - ieeexplore.ieee.org
The COVID-19 pandemic has greatly increased depression among adolescents. The current
depression diagnosis process requires significant patient effort and can be costly. Prior …

Using Multimodal Data Collection System as a Research Tool in the Major Depressive Disorder Analysis: a cross-sectional study protocol

H Li, Y Ji, L Xu, J Yang, Y Du, M Hu, N An - medRxiv, 2024 - medrxiv.org
Introduction Previous studies have established that depressive syndromes can be detected
using machine learning methods, with multimodal data being essential. Multimodal data …

[PDF][PDF] Multi-Task Learning to Screen for Major Depressive Disorder and Post-Traumatic Stress Disorder

A Shrestha - 2024 - digital.wpi.edu
Prevalent mental health conditions, major depressive disorder (MDD), and posttraumatic
stress disorder (PTSD) have severe physical and social impacts. Detection is difficult and …

“Use your words”: Towards Gender Fairness for Multimodal Depression Detection

S Meyberg - 2024 - studenttheses.uu.nl
Depression is a prevalent mental health disorder affecting both patients and society. The
ability to identify at-risk individuals early, accurately, and without human intervention can be …