Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches
As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
[Retracted] Psychological Analysis for Depression Detection from Social Networking Sites
Rapid technological advancements are altering people's communication styles. With the
growth of the Internet, social networks (Twitter, Facebook, Telegram, and Instagram) have …
growth of the Internet, social networks (Twitter, Facebook, Telegram, and Instagram) have …
[HTML][HTML] Construction of an emotional lexicon of patients with breast cancer: development and sentiment analysis
C Li, J Fu, J Lai, L Sun, C Zhou, W Li, B Jian… - Journal of Medical …, 2023 - jmir.org
Background The innovative method of sentiment analysis based on an emotional lexicon
shows prominent advantages in capturing emotional information, such as individual …
shows prominent advantages in capturing emotional information, such as individual …
Development of a prediction model for the depression level of the elderly in low-income households: Using decision trees, logistic regression, neural networks, and …
KM Kim, JH Kim, HS Rhee, BY Youn - Scientific reports, 2023 - nature.com
Korea is showing the fastest trend in the world in population aging; there is a high interest in
the elderly population nationwide. Among the common chronic diseases, the elderly tends to …
the elderly population nationwide. Among the common chronic diseases, the elderly tends to …
CAIINET: Neural network based on contextual attention and information interaction mechanism for depression detection
Depression is a globally widespread psychological disorder that has a serious impact on the
physical and mental health of patients. Currently, depression detection methods based on …
physical and mental health of patients. Currently, depression detection methods based on …
Depression detection on social media with the aid of machine learning platform: A comprehensive survey
Depression is a group of mental disorders associated with certain factors which can affect
the mood, feelings, negativity, losing interest, and sadness in human participants. To …
the mood, feelings, negativity, losing interest, and sadness in human participants. To …
A BERT-Based Summarization approach for depression detection
HS Gavalan, MN Rastgoo, B Nakisa - arXiv preprint arXiv:2409.08483, 2024 - arxiv.org
Depression is a globally prevalent mental disorder with potentially severe repercussions if
not addressed, especially in individuals with recurrent episodes. Prior research has shown …
not addressed, especially in individuals with recurrent episodes. Prior research has shown …
Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysis
In the current environment, psychological issues are prevalent and widespread, with social
media serving as a key outlet for individuals to share their feelings. This results in the …
media serving as a key outlet for individuals to share their feelings. This results in the …
Behavioral and electrophysiological analyses of self-referential neural processing in major depressive disorder
P Liu, Y Zhao, H Fan, Y Wu, L Liu, J Zhang, D Li… - Asian Journal of …, 2023 - Elsevier
Cognitive theories suggest that patients with major depressive disorder (MDD) constantly
negatively evaluate their self-referential information. Unlike Westerners with an independent …
negatively evaluate their self-referential information. Unlike Westerners with an independent …
New chaos-integrated improved grey wolf optimization based models for automatic detection of depression in online social media and networks
S Akyol - PeerJ Computer Science, 2023 - peerj.com
Depression is a psychological effect of the modern lifestyle on people's thoughts. It is a
serious individual and social health problem due to the risk of suicide and loss of workforce …
serious individual and social health problem due to the risk of suicide and loss of workforce …