[HTML][HTML] Natural language processing applied to mental illness detection: a narrative review
Mental illness is highly prevalent nowadays, constituting a major cause of distress in
people's life with impact on society's health and well-being. Mental illness is a complex multi …
people's life with impact on society's health and well-being. Mental illness is a complex multi …
Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A …
S Yasin, A Othmani, I Raza, SA Hussain - Computers in Biology and …, 2023 - Elsevier
Mental disorders are rapidly increasing each year and have become a major challenge
affecting the social and financial well-being of individuals. There is a need for phenotypic …
affecting the social and financial well-being of individuals. There is a need for phenotypic …
Depression detection based on hybrid deep learning SSCL framework using self-attention mechanism: An application to social networking data
In today's world, mental health diseases have become highly prevalent, and depression is
one of the mental health problems that has become widespread. According to WHO reports …
one of the mental health problems that has become widespread. According to WHO reports …
Speechformer++: A hierarchical efficient framework for paralinguistic speech processing
Paralinguistic speech processing is important in addressing many issues, such as sentiment
and neurocognitive disorder analyses. Recently, Transformer has achieved remarkable …
and neurocognitive disorder analyses. Recently, Transformer has achieved remarkable …
SpeechFormer: A hierarchical efficient framework incorporating the characteristics of speech
Transformer has obtained promising results on cognitive speech signal processing field,
which is of interest in various applications ranging from emotion to neurocognitive disorder …
which is of interest in various applications ranging from emotion to neurocognitive disorder …
Multimodal sensing for depression risk detection: integrating audio, video, and text data
Depression is a major psychological disorder with a growing impact worldwide. Traditional
methods for detecting the risk of depression, predominantly reliant on psychiatric …
methods for detecting the risk of depression, predominantly reliant on psychiatric …
Automatic depression detection via learning and fusing features from visual cues
Y Guo, C Zhu, S Hao, R Hong - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Depression is one of the most prevalent mental disorders, which seriously affects one's life.
Traditional depression diagnostics commonly depend on rating with scales, which can be …
Traditional depression diagnostics commonly depend on rating with scales, which can be …
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 …
Using graph representation learning with schema encoders to measure the severity of depressive symptoms
Graph neural networks (GNNs) are widely used in regression and classification problems
applied to text, in areas such as sentiment analysis and medical decision-making processes …
applied to text, in areas such as sentiment analysis and medical decision-making processes …
Review and content analysis of textual expressions as a marker for depressive and anxiety disorders (DAD) detection using machine learning
CM Sharma, D Damani, VM Chariar - Discover Artificial Intelligence, 2023 - Springer
Depressive disorders (including major depressive disorder and dysthymia) and anxiety
(generalized anxiety disorder or GAD) disorders are the two most prevalent mental illnesses …
(generalized anxiety disorder or GAD) disorders are the two most prevalent mental illnesses …