Psychiatry

A hybrid SMOTE and Gaussian mixture model based optimized XGBoost framework for bipolar disorder detection.

The identification of bipolar disorder (BD), a severe psychiatric condition characterized by recurrent mood fluctuations, remains challenging due to substantial inter-individual variability, symptom overlap with other mental disorders, and imbalanced clinical data. Delayed or inaccurate diagnosis often leads to inappropriate treatment strategies and adverse clinical outcomes, highlighting the need...

Sleep quality prediction in basketball athletes using a deep learning framework with an attention mechanism based on multimodal data.

It is difficult for traditional prediction methods to comprehensively evaluate the sleep quality problems of college basketball players, which is a key research problem in the field of physical education in colleges and universities. This study aims to develop an applied multimodal tabular-learning framework with feature-level attention for sleep-quality screening among university basketball athle...

The dark side of AI transparency: investigating AI-induced anxiety, technostress, and consumer satisfaction through a hybrid SEM-ANN approach.

As AI-driven technologies transform customer interactions, understanding their impact on consumer satisfaction is crucial. This study investigates the...

Elucidating biopsychosocial mechanisms in migraine: an integrative analytics approach combining genetics, neuroimaging, and machine learning.

BACKGROUND: Migraine is a complex and disabling neurological disorder shaped by the interplay of biological, psychological, and behavioral factors. Cu...

Non-suicidal self-injury in middle school students: Influencing factors and a risk prediction model.

Non-suicidal self-injury (NSSI) is becoming increasingly prevalent and harmful among adolescents, yet its intrinsic mechanism and early identification...

Differentiating unipolar and bipolar depression using multi-task eye-movement features.

BACKGROUND: Differentiating bipolar depression (BPD) from unipolar depression (UPD) is clinically challenging due to symptom overlap. This study explo...

Temporal patterns and predictive factors of depressive disorders among adolescents and young people in Asia.

BACKGROUND: Depressive disorders are a leading cause of non-fatal health loss among adolescents and young adults, yet evidence on long-term trends and...

Adolescents Experiencing Both Bullying and Childhood Trauma: Longitudinal Patterns, Psychosocial Networks, and Risk Prediction.

Adolescents who experience both bullying at school and maltreatment within families are at heightened risk for psychological harm, yet little is known...

Role of Gut Microbiota in Psychiatric Disorders: From Mechanistic Insights to Therapeutic Strategies.

Mental health disorders are a global health challenge, and the underlying biological mechanisms remain unclear. Recent evidence has linked gut microbi...

AI in School Health: Is It Appropriate for Mental Health Help?

The utilization of artificial intelligence (AI) in healthcare is rapidly developing with many unknowns and unforeseen circumstances. With the behavior...

Predicting Non-Response to Multicomponent Treatment in Fibromyalgia: Development and Validation of a Machine Learning Model.

BACKGROUND: Multicomponent programs combining therapeutic exercise, cognitive-behavioral therapy, and pain neuroscience education demonstrate overall ...

Comparing Logistic Regression and Artificial Neural Network Models for Analyzing Medicare Utilization and Costs Among Older Adults.

BACKGROUND: Artificial neural networks (ANNs) are increasingly applied in health care outcome prediction, yet their relative benefits compared with tr...

MTCL2 is essential for the bipolar-to-multipolar transition in the dendrite extension of cerebellar granule neurons.

The dynamic regulation of neuronal polarity is essential for the formation of neural networks during brain development. Primary cultures of rodent neu...

3DViT-GAT: a unified atlas-based 3D vision transformer and graph learning framework for major depressive disorder detection using structural MRI data.

Major depressive disorder (MDD) is a prevalent mental health condition that negatively impacts both individual well-being and global public health. Au...

Fairness analysis of machine learning predictions of aggression in acute psychiatric care.

Machine learning (ML) is increasingly being developed to support individualized risk assessment and de-escalation in acute psychiatry. However, ML alg...

Enhancing depression diagnosis with augmented brain signal driven decorrelated graph neural networks.

BACKGROUND: Major Depressive Disorder (MDD) is a leading global neuropsychiatric disorder, requiring precise diagnosis for effective intervention. Dev...

Joint attention in autism: A narrative review of assessment techniques from behavioral observation to artificial intelligence.

Joint attention (JA), the shared focus between two individuals on an object or event, plays a pivotal role in social communication, cognitive developm...

Factors associated with self-harm in patients with substance use disorders who died by suicide: national hybrid questionnaire registry study.

BACKGROUND: Self-harm, self-poisoning or self-injury, irrespective of the motivation, is a central risk factor for suicide. Still, there is limited kn...

Maternal and Pediatric Precision in Therapeutic Knowledge Portal (MPRINT-KP): Landscape Analysis of Pharmacology Research in Maternal and Pediatric Patient Populations.

Pregnant women and children have been underrepresented in clinical studies due to ethical concerns and perceived vulnerabilities. This resulted in a s...

Quantitative Histological Insights Into Sudden Arrhythmic Death Syndrome: Findings From a Forensic Autopsy Cohort.

Sudden arrhythmic death syndrome (SADS) is a major cause of sudden cardiac death in young individuals, characterized by structurally normal hearts and...