[HTML][HTML] A survey on detecting mental disorders with natural language processing: Literature review, trends and challenges
A Montejo-Ráez, MD Molina-González… - Computer Science …, 2024 - Elsevier
For years, the scientific community has researched monitoring approaches for the detection
of certain mental disorders and risky behaviors, like depression, eating disorders, gambling …
of certain mental disorders and risky behaviors, like depression, eating disorders, gambling …
A multimodal fusion model with multi-level attention mechanism for depression detection
M Fang, S Peng, Y Liang, CC Hung, S Liu - Biomedical Signal Processing …, 2023 - Elsevier
Depression is a common mental illness that affects the physical and mental health of
hundreds of millions of people around the world. Therefore, designing an efficient and …
hundreds of millions of people around the world. Therefore, designing an efficient and …
[PDF][PDF] Improving depression prediction accuracy using fisher score-based feature selection and dynamic ensemble selection approach based on acoustic features of …
N Janardhan, N Kumaresh - Traitement du Signal, 2022 - researchgate.net
Accepted: 13 February 2022 Depression affects over 322 million people, and it is the most
common source of disability worldwide. Literature in speech processing revealed that …
common source of disability worldwide. Literature in speech processing revealed that …
Trial selection tensor canonical correlation analysis (TSTCCA) for depression recognition with facial expression and pupil diameter
M Yang, Y Wu, Y Tao, X Hu, B Hu - IEEE Journal of Biomedical …, 2023 - ieeexplore.ieee.org
Facial expressions have been widely used for depression recognition because it is intuitive
and convenient to access. Pupil diameter contains rich emotional information that is already …
and convenient to access. Pupil diameter contains rich emotional information that is already …
[HTML][HTML] Depression recognition using a proposed speech chain model fusing speech production and perception features
Background Increasing depression patients puts great pressure on clinical diagnosis. Audio-
based diagnosis is a helpful auxiliary tool for early mass screening. However, current …
based diagnosis is a helpful auxiliary tool for early mass screening. However, current …
Towards automatic text-based estimation of depression through symptom prediction
Abstract Major Depressive Disorder (MDD) is one of the most common and comorbid mental
disorders that impacts a person's day-to-day activity. In addition, MDD affects one's linguistic …
disorders that impacts a person's day-to-day activity. In addition, MDD affects one's linguistic …
Automatic depression severity assessment with deep learning using parameter-efficient tuning
Introduction To assist mental health care providers with the assessment of depression,
research to develop a standardized, accessible, and non-invasive technique has garnered …
research to develop a standardized, accessible, and non-invasive technique has garnered …
A hybrid feature selection and ensemble approach to identify depressed users in online social media
J Liu, M Shi - Frontiers in Psychology, 2022 - frontiersin.org
Depression has become one of the most common mental illnesses, and the widespread use
of social media provides new ideas for detecting various mental illnesses. The purpose of …
of social media provides new ideas for detecting various mental illnesses. The purpose of …
Three-stream convolutional neural network for depression detection with ocular imaging
M Yang, Z Weng, Y Zhang, Y Tao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Depression is a prevalent and severe mental disorder that significantly affects both mind and
body, leading to persistent feelings of sadness, despair, and impaired functionality …
body, leading to persistent feelings of sadness, despair, and impaired functionality …
D-ResNet-PVKELM: deep neural network and paragraph vector based kernel extreme machine learning model for multimodal depression analysis
Nowadays, depression heavily affects humans' physical and mental health. Depression
occurs due to changes in mood, loss of interest, and stress, which leads to self-harm events …
occurs due to changes in mood, loss of interest, and stress, which leads to self-harm events …