Psychiatry

Depression

Latest AI and machine learning research in depression for healthcare professionals.

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Showing 820-840 of 1,937 articles
Development and validation of short-term, medium-term, and long-term suicide attempt prediction models based on a prospective cohort in Korea.

BACKGROUND: This study aimed to develop and validate prediction models for short-(3 months), medium-...

Feb 2025 40058073
Machine learning based seizure classification and digital biosignal analysis of ECT seizures.

While artificial intelligence has received considerable attention in various medical fields, its app...

(3)
Feb 2025 39984540
Identifying major depressive disorder among US adults living alone using stacked ensemble machine learning algorithms.

BACKGROUND: It has been increasingly recognized that adults living alone have a higher likelihood of...

Feb 2025 40066004
Proteome analysis of the prefrontal cortex and the application of machine learning models for the identification of potential biomarkers related to suicide.

INTRODUCTION: Suicide is a significant public health problem, with increased rates in low- and middl...

Feb 2025 40051599
Prediction of depressive disorder using machine learning approaches: findings from the NHANES.

BACKGROUND: Depressive disorder, particularly major depressive disorder (MDD), significantly impact ...

(1)
Feb 2025 39962516
Differentiating adolescent suicidal and nonsuicidal self-harm with artificial intelligence: Beyond suicidal intent and capability for suicide.

Clinical differentiation between adolescent suicidal self-harm (SSH) and nonsuicidal self-harm (NSSH...

Feb 2025 39955075
Identifying Adolescent Depression and Anxiety Through Real-World Data and Social Determinants of Health: Machine Learning Model Development and Validation.

BACKGROUND: The prevalence of adolescent mental health conditions such as depression and anxiety has...

(2)
Feb 2025 39937988
EEG Temporal-Spatial Feature Learning for Automated Selection of Stimulus Parameters in Electroconvulsive Therapy.

The risk of adverse effects in Electroconvulsive Therapy (ECT), such as cognitive impairment, can be...

Feb 2025 39480724
Predictors of depression among Chinese college students: a machine learning approach.

BACKGROUND: Depression is highly prevalent among college students, posing a significant public healt...

Feb 2025 39910488
Emotional stimulated speech-based assisted early diagnosis of depressive disorders using personality-enhanced deep learning.

BACKGROUND: Early diagnosis of depression is crucial, and speech-based early diagnosis of depression...

(1)
Feb 2025 39914753
M₂DC: A Meta-Learning Framework for Generalizable Diagnostic Classification of Major Depressive Disorder.

Psychiatric diseases are bringing heavy burdens for both individual health and social stability. The...

Feb 2025 39283781
A machine learning model using clinical notes to estimate PHQ-9 symptom severity scores in depressed patients.

BACKGROUND: Lack of widespread use of the Patient Health Questionnaire 9-item (PHQ-9) in clinical pr...

(1)
Feb 2025 39909164
AFMDD: Analyzing Functional Connectivity Feature of Major Depressive Disorder by Graph Neural Network-Based Model.

The extraction of biomarkers from functional connectivity (FC) in the brain is of great significance...

Feb 2025 39899351
Using natural language processing to identify patterns associated with depression, anxiety, and stress symptoms during the COVID-19 pandemic.

BACKGROUND: Combining data-driven natural language processing techniques with traditional methods us...

(1)
Jan 2025 39892758
Machine Learning Tool for New Selective Serotonin and Serotonin-Norepinephrine Reuptake Inhibitors.

Depression, a serious mood disorder, affects about 5% of the population. Currently, there are two gr...

(2)
Jan 2025 39942741
Evaluation of an AI-Based Voice Biomarker Tool to Detect Signals Consistent With Moderate to Severe Depression.

PURPOSE: Mental health screening is recommended by the US Preventive Services Task Force for all pat...

(1)
Jan 2025 39805690
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