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Subcategories: Addictions Anxiety & Stress Bipolar Disorder Depression DSM-5 Eating Disorders Schizophrenia

Showing 4012-4032 of 5,977 articles

Evidence-Driven Marker Extraction for Social Media Suicide Risk Detection

Early detection of suicide risk from social media text is crucial for timely intervention. While L...

Feb 2025 http://arxiv.org/abs/2502.18823v1

NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders

Mental disorders are among the most widespread diseases globally. Analyzing functional brain netwo...

Feb 2025 http://arxiv.org/abs/2502.18786v3

Uncertainty Modeling in Multimodal Speech Analysis Across the Psychosis Spectrum

Capturing subtle speech disruptions across the psychosis spectrum is challenging because of the in...

Feb 2025 http://arxiv.org/abs/2502.18285v1

Uncertainty-aware abstention in medical diagnosis based on medical texts

This study addresses the critical issue of reliability for AI-assisted medical diagnosis. We focus...

Feb 2025 http://arxiv.org/abs/2502.18050v1

[The joint analysis of heart health and mental health based on continual learning].

Cardiovascular diseases and psychological disorders represent two major threats to human physical an...

Feb 2025 40000169

Moving Beyond Medical Exam Questions: A Clinician-Annotated Dataset of Real-World Tasks and Ambiguity in Mental Healthcare

Current medical language model (LM) benchmarks often over-simplify the complexities of day-to-day ...

Feb 2025 http://arxiv.org/abs/2502.16051v2

Eeyore: Realistic Depression Simulation via Supervised and Preference Optimization

Large Language Models (LLMs) have been previously explored for mental healthcare training and ther...

Feb 2025 http://arxiv.org/abs/2503.00018v1

MHQA: A Diverse, Knowledge Intensive Mental Health Question Answering Challenge for Language Models

Mental health remains a challenging problem all over the world, with issues like depression, anxie...

Feb 2025 http://arxiv.org/abs/2502.15418v1

Unsupervised Clustering Approaches for Autism Screening: Achieving 95.31% Accuracy with a Gaussian Mixture Model

Autism spectrum disorder (ASD) remains a challenging condition to diagnose effectively and promptl...

Feb 2025 http://arxiv.org/abs/2503.05746v1

Predicting Depression in Screening Interviews from Interactive Multi-Theme Collaboration

Automatic depression detection provides cues for early clinical intervention by clinicians. Clinic...

Feb 2025 http://arxiv.org/abs/2502.12204v1

A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions

Mental health remains a critical global challenge, with increasing demand for accessible, effectiv...

Feb 2025 http://arxiv.org/abs/2502.11095v1

Measuring Anxiety Levels with Head Motion Patterns in Severe Depression Population

Depression and anxiety are prevalent mental health disorders that frequently cooccur, with anxiety...

Feb 2025 http://arxiv.org/abs/2502.08813v2

Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data

The adoption of EHRs has expanded opportunities to leverage data-driven algorithms in clinical car...

Feb 2025 http://arxiv.org/abs/2502.08547v1

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting

Large language models (LLMs) show promise for health applications when combined with behavioral se...

Feb 2025 http://arxiv.org/abs/2502.07608v3

[Prediction of depression symptoms in seniors and analysis of influencing factors based on explainable machine learning].

This study aims to construct a machine learning model to predict depression symptoms in the elderly...

Feb 2025 39965839

Browse Categories

Evidence-Driven Marker Extraction for Social Media Suicide Risk Detection

NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders

Uncertainty Modeling in Multimodal Speech Analysis Across the Psychosis Spectrum

Uncertainty-aware abstention in medical diagnosis based on medical texts

[The joint analysis of heart health and mental health based on continual learning].

Moving Beyond Medical Exam Questions: A Clinician-Annotated Dataset of Real-World Tasks and Ambiguity in Mental Healthcare

Eeyore: Realistic Depression Simulation via Supervised and Preference Optimization

MHQA: A Diverse, Knowledge Intensive Mental Health Question Answering Challenge for Language Models

Unsupervised Clustering Approaches for Autism Screening: Achieving 95.31% Accuracy with a Gaussian Mixture Model

Predicting Depression in Screening Interviews from Interactive Multi-Theme Collaboration

A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions

Measuring Anxiety Levels with Head Motion Patterns in Severe Depression Population

Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting

[Prediction of depression symptoms in seniors and analysis of influencing factors based on explainable machine learning].

HamRaz: A Culture-Based Persian Conversation Dataset for Person-Centered Therapy Using LLM Agents

Enhancing Depression Detection with Chain-of-Thought Prompting: From Emotion to Reasoning Using Large Language Models

Multimodal Cognitive Reframing Therapy via Multi-hop Psychotherapeutic Reasoning

Multi-Site rs-fMRI Domain Alignment for Autism Spectrum Disorder Auxiliary Diagnosis Based on Hyperbolic Space

Explainable and externally validated machine learning for neuropsychiatric diagnosis via electrocardiograms

Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions

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