Results 41 to 50 of about 1,115,740 (129)

Enhanced Large Language Models for Effective Screening of Depression and Anxiety [PDF]

arXiv
Depressive and anxiety disorders are widespread, necessitating timely identification and management. Recent advances in Large Language Models (LLMs) offer potential solutions, yet high costs and ethical concerns about training data remain challenges. This paper introduces a pipeline for synthesizing clinical interviews, resulting in 1,157 interactive ...
arxiv  

WorryWords: Norms of Anxiety Association for over 44k English Words [PDF]

In Proceedings of EMNLP 2024, Miami, FL
Anxiety, the anticipatory unease about a potential negative outcome, is a common and beneficial human emotion. However, there is still much that is not known, such as how anxiety relates to our body and how it manifests in language. This is especially pertinent given the increasing impact of anxiety-related disorders.
arxiv  

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case [PDF]

arXiv
Large language models (LLMs) are increasingly attracting the attention of healthcare professionals for their potential to assist in diagnostic assessments, which could alleviate the strain on the healthcare system caused by a high patient load and a shortage of providers.
arxiv  

Measuring Anxiety Levels with Head Motion Patterns in Severe Depression Population [PDF]

arXiv
Depression and anxiety are prevalent mental health disorders that frequently cooccur, with anxiety significantly influencing both the manifestation and treatment of depression. An accurate assessment of anxiety levels in individuals with depression is crucial to develop effective and personalized treatment plans.
arxiv  

Detecting a Proxy for Potential Comorbid ADHD in People Reporting Anxiety Symptoms from Social Media Data [PDF]

Proceedings of the 9th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2024)
We present a novel task that can elucidate the connection between anxiety and ADHD; use Transformers to make progress toward solving a task that is not solvable by keyword-based classifiers; and discuss a method for visualization of our classifier illuminating the connection between anxiety and ADHD presentations.
arxiv  

Are Anxiety Detection Models Generalizable? A Cross-Activity and Cross-Population Study Using Wearables [PDF]

arXiv
Anxiety-provoking activities, such as public speaking, can trigger heightened anxiety responses in individuals with anxiety disorders. Recent research suggests that physiological signals, including electrocardiogram (ECG) and electrodermal activity (EDA), collected via wearable devices, can be used to detect anxiety in such contexts through machine ...
arxiv  

Usage of Virtual Reality in Combating Social Anxiety Disorders in Non-native English Speakers: A Survey [PDF]

arXiv
Social Anxiety Disorder (SAD) is a common yet underestimated mental health disorder. While non-native English speaker (NNES) students face public speaking, they are more likely to suffer some public speaking anxiety (PSA) due to linguistic and sociocultural differences \cite{cite1}.
arxiv  

Automated Music Therapy for Anxiety and Depression Management in Older People (AMITY) [PDF]

arXiv
The onset of old age brings physiological and mental changes, with anxiety and depression being common mental disorders that can trigger other health issues and reduce lifespan. However, due to a global shortage of mental health professionals, combined with a growing population and limited awareness, these disorders often go undiagnosed.
arxiv  

Comorbid anxiety predicts lower odds of depression improvement during smartphone-delivered psychotherapy [PDF]

arXiv
Comorbid anxiety disorders are common among patients with major depressive disorder (MDD), and numerous studies have identified an association between comorbid anxiety and resistance to pharmacological depression treatment. However, the impact of anxiety on the effectiveness of non-pharmacological interventions for MDD is not as well understood.
arxiv  

Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis [PDF]

arXiv
In this study, we introduce ANGST, a novel, first-of-its kind benchmark for depression-anxiety comorbidity classification from social media posts. Unlike contemporary datasets that often oversimplify the intricate interplay between different mental health disorders by treating them as isolated conditions, ANGST enables multi-label classification ...
arxiv