[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 …
A comprehensive analysis of artificial intelligence techniques for the prediction and prognosis of lifestyle diseases
Artificial intelligence is the fastest growing data-driven technology and is currently used in all
major fields and reduces the work of humans. Artificial intelligence can analyse extensive …
major fields and reduces the work of humans. Artificial intelligence can analyse extensive …
[HTML][HTML] Deep learning for prediction of depressive symptoms in a large textual dataset
Depression is a common illness worldwide with potentially severe implications. Early
identification of depressive symptoms is a crucial first step towards assessment, intervention …
identification of depressive symptoms is a crucial first step towards assessment, intervention …
[HTML][HTML] Emotion fusion for mental illness detection from social media: A survey
Mental illnesses are one of the most prevalent public health problems worldwide, which
negatively influence people's lives and society's health. With the increasing popularity of …
negatively influence people's lives and society's health. With the increasing popularity of …
Emollms: A series of emotional large language models and annotation tools for comprehensive affective analysis
Sentiment analysis and emotion detection are important research topics in natural language
processing (NLP) and benefit many downstream tasks. With the widespread application of …
processing (NLP) and benefit many downstream tasks. With the widespread application of …
Taking all the factors we need: A multimodal depression classification with uncertainty approximation
Depression and anxiety are prevalent mental illnesses that are frequently disregarded as
disorders. It is estimated that more than 5% of the population suffers from depression or …
disorders. It is estimated that more than 5% of the population suffers from depression or …
Depression detection via a Chinese social media platform: a novel causal relation-aware deep learning approach
Y Liu - The Journal of Supercomputing, 2024 - Springer
Depression detection on social media aims to analyze users' tendency to depression and
provide help for the early detection of depressed users. However, most previous research …
provide help for the early detection of depressed users. However, most previous research …
Predicting depression in Canada by automatic filling of Beck's depression inventory questionnaire
The risk for depression and anxiety increased as people adjusted to a new normal after the
COVID-19 pandemic. Early detection and appropriate onset treatment and support can …
COVID-19 pandemic. Early detection and appropriate onset treatment and support can …
[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 …
[PDF][PDF] A review and meta-analysis of machine intelligence approaches for mental health issues and depression detection
Cases of mental health issues are increasing continuously and have sped up due to COVID-
19. There are high chances of developing mental health issues such as depression, anxiety …
19. There are high chances of developing mental health issues such as depression, anxiety …