AIMC Topic: Depressive Disorder, Major

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Bootstrap inference and machine learning reveal core differential plasma metabolic connectome signatures in major depressive disorder.

Journal of affective disorders Mar 3, 2025
BACKGROUND: Major depressive disorder (MDD) involves molecular alterations and pathway dysregulation. Metabolic interconnections are crucial for normal functioning, yet current analysis focuses on individual pathways or biomarkers, overlooking intric...
Case-Control Studies Metabolomics Metabolome Metabolic Networks and Pathways Male Middle Aged Depressive Disorder, Major Connectome Humans Female Adult Machine Learning Biomarkers
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The role of senescence-related genes in major depressive disorder: insights from machine learning and single cell analysis.

BMC psychiatry Mar 3, 2025
BACKGROUND: Evidence indicates that patients with Major Depressive Disorder (MDD) exhibit a senescence phenotype or an increased susceptibility to premature senescence. However, the relationship between senescence-related genes (SRGs) and MDD remains...
Female Adult Male Aging Humans Machine Learning Middle Aged Single-Cell Analysis Cellular Senescence Depressive Disorder, Major Gene Regulatory Networks Case-Control Studies
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Comprehensive evaluation of pipelines for classification of psychiatric disorders using multi-site resting-state fMRI datasets.

Neural networks : the official journal of the International Neural Network Society Feb 28, 2025
Objective classification biomarkers that are developed using resting-state functional magnetic resonance imaging (rs-fMRI) data are expected to contribute to more effective treatment for psychiatric disorders. Unfortunately, no widely accepted biomar...
Humans Machine Learning Mental Disorders Brain Depressive Disorder, Major Female Magnetic Resonance Imaging Brain Mapping Adult Rest Male
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Identifying major depressive disorder among US adults living alone using stacked ensemble machine learning algorithms.

Frontiers in public health Feb 21, 2025
BACKGROUND: It has been increasingly recognized that adults living alone have a higher likelihood of developing Major Depressive Disorder (MDD) than those living with others. However, there is still no prediction model for MDD specifically designed f...
Adult United States Male Humans Middle Aged Machine Learning Female Depressive Disorder, Major Algorithms Risk Factors Nutrition Surveys Aged
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Predicting Treatment Response of Repetitive Transcranial Magnetic Stimulation in Major Depressive Disorder Using an Explainable Machine Learning Model Based on Electroencephalography and Clinical Features.

Biological psychiatry. Cognitive neuroscience and neuroimaging Feb 18, 2025
Major depressive disorder (MDD) is highly heterogeneous in response to repetitive transcranial magnetic stimulation (rTMS), and identifying predictive biomarkers is essential for personalized treatment. However, most prior research studies have used ...
Support Vector Machine Electroencephalography Transcranial Magnetic Stimulation Machine Learning Female Adult Humans Depressive Disorder, Major Male Treatment Outcome Middle Aged
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Prediction of depressive disorder using machine learning approaches: findings from the NHANES.

BMC medical informatics and decision making Feb 17, 2025
BACKGROUND: Depressive disorder, particularly major depressive disorder (MDD), significantly impact individuals and society. Traditional analysis methods often suffer from subjectivity and may not capture complex, non-linear relationships between ris...
Humans Aged Young Adult United States Adult Middle Aged Male Depressive Disorder, Major Nutrition Surveys Machine Learning Female Risk Factors
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Emotional stimulated speech-based assisted early diagnosis of depressive disorders using personality-enhanced deep learning.

Journal of affective disorders Feb 4, 2025
BACKGROUND: Early diagnosis of depression is crucial, and speech-based early diagnosis of depression is promising, but insufficient data and lack of theoretical support make it difficult to be applied. Therefore, it is valuable to combine psychiatric...
Personality Adolescent Emotions Early Diagnosis Middle Aged Depressive Disorder, Major Deep Learning Speech Young Adult Adult Male Humans Algorithms Female
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M₂DC: A Meta-Learning Framework for Generalizable Diagnostic Classification of Major Depressive Disorder.

IEEE transactions on medical imaging Feb 4, 2025
Psychiatric diseases are bringing heavy burdens for both individual health and social stability. The accurate and timely diagnosis of the diseases is essential for effective treatment and intervention. Thanks to the rapid development of brain imaging...
Image Interpretation, Computer-Assisted Neuroimaging Algorithms Brain Depressive Disorder, Major Magnetic Resonance Imaging Humans Machine Learning
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A machine learning model using clinical notes to estimate PHQ-9 symptom severity scores in depressed patients.

Journal of affective disorders Feb 3, 2025
BACKGROUND: Lack of widespread use of the Patient Health Questionnaire 9-item (PHQ-9) in clinical practice inhibits measurement of treatment follow-up for patients with major depressive disorder (MDD). This study developed, validated and applied a ma...
Machine Learning Electronic Health Records Humans Middle Aged Female Depressive Disorder, Major Severity of Illness Index Adult Patient Health Questionnaire Male
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AFMDD: Analyzing Functional Connectivity Feature of Major Depressive Disorder by Graph Neural Network-Based Model.

Journal of computational biology : a journal of computational molecular cell biology Feb 3, 2025
The extraction of biomarkers from functional connectivity (FC) in the brain is of great significance for the diagnosis of mental disorders. In recent years, with the development of deep learning, several methods have been proposed to assist in the di...
Graph Neural Networks Humans Neural Networks, Computer Algorithms Depressive Disorder, Major Deep Learning Biomarkers Brain
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