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Showing 1744-1764 of 1,939 articles

Large-scale digital phenotyping: identifying depression and anxiety indicators in a general UK population with over 10,000 participants

Digital phenotyping offers a novel and cost-efficient approach for managing depression and anxiety...

Sep 2024 http://arxiv.org/abs/2409.16339v1

Analysis of In-Home Movement Patterns for Depression Assessment in Older Adults - A Feasibility Study.

Depression significantly impacts the wellbeing of older Australians, posing considerable challenges ...

(2)

Sep 2024 39320196

Multilayer Network of Cardiovascular Diseases and Depression via Multipartite Projection

Cardiovascular diseases (CVD) and depression exhibit significant comorbidity, which is highly pred...

Aug 2024 http://arxiv.org/abs/2408.07562v2

Integrating Large Language Models into a Tri-Modal Architecture for Automated Depression Classification on the DAIC-WOZ

Major Depressive Disorder (MDD) is a pervasive mental health condition that affects 300 million pe...

Jul 2024 http://arxiv.org/abs/2407.19340v5

Machine learning for detection of heterogeneous effects of Medicaid coverage on depression.

In 2008, Oregon expanded its Medicaid program using a lottery, creating a rare opportunity to study ...

Jul 2024 38400644

MDDBranchNet: A Deep Learning Model for Detecting Major Depressive Disorder Using ECG Signal.

Major depressive disorder (MDD) is a chronic mental illness which affects people's well-being and is...

Jul 2024 38954560

Neural substrates of predicting anhedonia symptoms in major depressive disorder via connectome-based modeling.

MAIN PROBLEM: Anhedonia is a critical diagnostic symptom of major depressive disorder (MDD), being a...

Jul 2024 39037006

Data Quality Matters: Suicide Intention Detection on Social Media Posts Using RoBERTa-CNN.

Suicide remains a pressing global health concern, necessitating innovative approaches for early dete...

(1)

Jul 2024 40039081

TAU-DI Net: A Multi-Scale Convolutional Network Combining Prob-Sparse Attention for EEG-based Depression Identification.

EEG-based detection of major depression disorder (MDD) plays a pivotal role in the subsequent treatm...

(3)

Jul 2024 40039164

Exploring Self-Supervised Models for Depressive Disorder Detection: A Study on Speech Corpora.

Automatic detection of depressive disorder from speech signals can help improve medical diagnosis re...

(1)

Jul 2024 40039538

Diagnosing Suicidal Ideation from Resting State EEG Data Using a Machine Learning Algorithm.

Suicide poses a global health crisis with significant social and economic impact. Prevention may be ...

Jul 2024 40039997

A Sentiment Pre-trained Text-Guided Multimodal Cross-Attention Transformer for Improved Depression Detection.

Depression is a widespread mental health issue requiring efficient automated detection methods. Trad...

Jul 2024 40040039

FacePsy: An Open-Source Affective Mobile Sensing System -- Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings

Depression, a prevalent and complex mental health issue affecting millions worldwide, presents sig...

(2)

Jun 2024 http://arxiv.org/abs/2406.17181v1

Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study

INTRODUCTION: The pharmacological treatment of Major Depressive Disorder (MDD) relies on a trial-a...

(2)

Jun 2024 http://arxiv.org/abs/2406.04993v2

Speech-based Clinical Depression Screening: An Empirical Study

This study investigates the utility of speech signals for AI-based depression screening across var...

Jun 2024 http://arxiv.org/abs/2406.03510v2

Preparing for the bedside-optimizing a postpartum depression risk prediction model for clinical implementation in a health system.

OBJECTIVE: We developed and externally validated a machine-learning model to predict postpartum depr...

May 2024 38531676

Psychiatry

Browse Categories

Large-scale digital phenotyping: identifying depression and anxiety indicators in a general UK population with over 10,000 participants

Analysis of In-Home Movement Patterns for Depression Assessment in Older Adults - A Feasibility Study.

Multilayer Network of Cardiovascular Diseases and Depression via Multipartite Projection

Integrating Large Language Models into a Tri-Modal Architecture for Automated Depression Classification on the DAIC-WOZ

Machine learning for detection of heterogeneous effects of Medicaid coverage on depression.

MDDBranchNet: A Deep Learning Model for Detecting Major Depressive Disorder Using ECG Signal.

Neural substrates of predicting anhedonia symptoms in major depressive disorder via connectome-based modeling.

Data Quality Matters: Suicide Intention Detection on Social Media Posts Using RoBERTa-CNN.

TAU-DI Net: A Multi-Scale Convolutional Network Combining Prob-Sparse Attention for EEG-based Depression Identification.

Exploring Self-Supervised Models for Depressive Disorder Detection: A Study on Speech Corpora.

Diagnosing Suicidal Ideation from Resting State EEG Data Using a Machine Learning Algorithm.

A Sentiment Pre-trained Text-Guided Multimodal Cross-Attention Transformer for Improved Depression Detection.

FacePsy: An Open-Source Affective Mobile Sensing System -- Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings

Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study

Speech-based Clinical Depression Screening: An Empirical Study

Preparing for the bedside-optimizing a postpartum depression risk prediction model for clinical implementation in a health system.

[A research on depression recognition based on voice pre-training model].

Geriatric depression and anxiety screening via deep learning using activity tracking and sleep data.

Evaluating the Quality of Mental Health Information Generated by Large Language Model Chatbots

A Natural Language Processing Pipeline based on the Columbia-Suicide Severity Rating Scale

Deep Learning-based Time-to-event Analysis of Depression and Asthma using the All of Us Research Program.

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