AIMC Topic: Depressive Disorder, Major

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Causes of death in individuals with lifetime major depression: a comprehensive machine learning analysis from a community-based autopsy center.

BMC psychiatry Jul 24, 2024
BACKGROUND: Depression can be associated with increased mortality and morbidity, but no studies have investigated the specific causes of death based on autopsy reports. Autopsy studies can yield valuable and detailed information on pathological ailme...
Humans Adult Male Middle Aged Depressive Disorder, Major Machine Learning Female Aged Aged, 80 and over Case-Control Studies Cause of Death Autopsy
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Detecting depression severity using weighted random forest and oxidative stress biomarkers.

Scientific reports Jul 15, 2024
This study employs machine learning to detect the severity of major depressive disorder (MDD) through binary and multiclass classifications. We compared models that used only biomarkers of oxidative stress with those that incorporate sociodemographic...
Random Forest Adult Male Middle Aged Depressive Disorder, Major Severity of Illness Index Depression Oxidative Stress Area Under Curve Humans Machine Learning Biomarkers Female
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Functional Near-Infrared Spectroscopy-Based Computer-Aided Diagnosis of Major Depressive Disorder Using Convolutional Neural Network with a New Channel Embedding Layer Considering Inter-Hemispheric Asymmetry in Prefrontal Hemodynamic Responses.

Depression and anxiety Jul 14, 2024
BACKGROUND: Functional near-infrared spectroscopy (fNIRS) is being extensively explored as a potential primary screening tool for major depressive disorder (MDD) because of its portability, cost-effectiveness, and low susceptibility to motion artifac...
Convolutional Neural Networks Depressive Disorder, Major Spectroscopy, Near-Infrared Prefrontal Cortex Hemodynamics Diagnosis, Computer-Assisted Deep Learning Functional Neuroimaging Young Adult Adult Humans Male Neural Networks, Computer Middle Aged Female
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Screening of Secretory Proteins Linking Major Depressive Disorder with Heart Failure Based on Comprehensive Bioinformatics Analysis and Machine Learning.

Biomolecules Jul 4, 2024
BACKGROUND: Major depressive disorder (MDD) plays a crucial role in the occurrence of heart failure (HF). This investigation was undertaken to explore the possible mechanism of MDD's involvement in HF pathogenesis and identify candidate biomarkers fo...
Computational Biology Mendelian Randomization Analysis Heart Failure Genome-Wide Association Study Protein Interaction Maps Mice Humans Machine Learning Biomarkers Animals Depressive Disorder, Major
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Neuroimaging and natural language processing-based classification of suicidal thoughts in major depressive disorder.

Translational psychiatry Jul 4, 2024
Suicide is a growing public health problem around the world. The most important risk factor for suicide is underlying psychiatric illness, especially depression. Detailed classification of suicide in patients with depression can greatly enhance perso...
Brain Female Young Adult Adult Humans Machine Learning Magnetic Resonance Imaging Natural Language Processing Neuroimaging Default Mode Network Male Middle Aged Depressive Disorder, Major Suicidal Ideation
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Machine learning for antidepressant treatment selection in depression.

Drug discovery today Jun 24, 2024
Finding the right antidepressant for the individual patient with major depressive disorder can be a difficult endeavor and is mostly based on trial-and-error. Machine learning (ML) is a promising tool to personalize antidepressant prescription. In th...
Precision Medicine Depressive Disorder, Major Antidepressive Agents Humans Machine Learning
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Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets.

Translational psychiatry Jun 21, 2024
Major depressive disorder (MDD) is the leading cause of disability worldwide, yet treatment selection still proceeds via "trial and error". Given the varied presentation of MDD and heterogeneity of treatment response, the use of machine learning to u...
Humans Clinical Trials as Topic Male Antidepressive Agents Middle Aged Depressive Disorder, Major Bayes Theorem Neural Networks, Computer Machine Learning Female Adult
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GCTNet: a graph convolutional transformer network for major depressive disorder detection based on EEG signals.

Journal of neural engineering Jun 14, 2024
Identifying major depressive disorder (MDD) using objective physiological signals has become a pressing challenge.Hence, this paper proposes a graph convolutional transformer network (GCTNet) for accurate and reliable MDD detection using electroencep...
Electroencephalography Signal Processing, Computer-Assisted Adult Male Middle Aged Depressive Disorder, Major Algorithms Female Young Adult Humans Neural Networks, Computer
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Mining key circadian biomarkers for major depressive disorder by integrating bioinformatics and machine learning.

Aging Jun 13, 2024
OBJECTIVE: This study aimed to identify key clock genes closely associated with major depressive disorder (MDD) using bioinformatics and machine learning approaches.
Male Middle Aged Depressive Disorder, Major Gene Expression Profiling Case-Control Studies Gene Regulatory Networks Computational Biology Machine Learning Biomarkers Female Adult Humans Circadian Rhythm
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EEG based functional connectivity in resting and emotional states may identify major depressive disorder using machine learning.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jun 1, 2024
OBJECTIVE: Disrupted brain network connectivity underlies major depressive disorder (MDD). Altered EEG based Functional connectivity (FC) with Emotional stimuli in major depressive disorder (MDD) in addition to resting state FC may help in improving ...
Male Middle Aged Depressive Disorder, Major Emotions Brain Electroencephalography Female Rest Young Adult Adult Humans Machine Learning
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