[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 …
Key language markers of depression on social media depend on race
Depression has robust natural language correlates and can increasingly be measured in
language using predictive models. However, despite evidence that language use varies as …
language using predictive models. However, despite evidence that language use varies as …
Multilevel depression status detection based on fine-grained prompt learning
J Zhang, Y Guo - Pattern Recognition Letters, 2024 - Elsevier
As a common psychological disorder, depression is generally detected based on scales and
interviews, which are often affected by subjective or environmental factors. In order to assist …
interviews, which are often affected by subjective or environmental factors. In order to assist …
Node-weighted graph convolutional network for depression detection in transcribed clinical interviews
We propose a simple approach for weighting self-connecting edges in a Graph
Convolutional Network (GCN) and show its impact on depression detection from transcribed …
Convolutional Network (GCN) and show its impact on depression detection from transcribed …
An assessment on comprehending mental health through large language models
Mental health challenges pose considerable global burdens on individuals and
communities. Recent data indicates that more than 20% of adults may encounter at least …
communities. Recent data indicates that more than 20% of adults may encounter at least …
Identifying patients in need of psychological treatment with language representation models
Early diagnosis of psychological disorders is very important for patients to regain their
health. Research shows that many patients do not realize that they have a psychological …
health. Research shows that many patients do not realize that they have a psychological …
Multi-view graph-based interview representation to improve depression level estimation
Depression is a serious mental illness that affects millions worldwide and consequently has
attracted considerable research interest in recent years. Within the field of automated …
attracted considerable research interest in recent years. Within the field of automated …
Heterogeneous Subgraph Network with Prompt Learning for Interpretable Depression Detection on Social Media
C Chen, M Li, F Li, H Chen, Y Lin - arXiv preprint arXiv:2407.09019, 2024 - arxiv.org
Massive social media data can reflect people's authentic thoughts, emotions,
communication, etc., and therefore can be analyzed for early detection of mental health …
communication, etc., and therefore can be analyzed for early detection of mental health …
LLM Questionnaire Completion for Automatic Psychiatric Assessment
G Rosenman, L Wolf, T Hendler - arXiv preprint arXiv:2406.06636, 2024 - arxiv.org
We employ a Large Language Model (LLM) to convert unstructured psychological interviews
into structured questionnaires spanning various psychiatric and personality domains. The …
into structured questionnaires spanning various psychiatric and personality domains. The …
Evaluating Lexicon Incorporation for Depression Symptom Estimation
This paper explores the impact of incorporating sentiment, emotion, and domain-specific
lexicons into a transformer-based model for depression symptom estimation. Lexicon …
lexicons into a transformer-based model for depression symptom estimation. Lexicon …