Psychiatry

MDNCT: a multi-domain neurocognitive transformer architecture approach for early prediction of autism spectrum disorders.

Intellectual disability (ID) refers to a disorder involving intelligence and adaptive behavior that ...

An illustration of multi-class roc analysis for predicting internet addiction among university students.

The internet is one of the essential tools today, and its impact is particularly felt among universi...

Application of machine learning algorithms and SHAP explanations to predict fertility preference among reproductive women in Somalia.

Fertility preferences significantly influence population dynamics and reproductive health outcomes, ...

A randomised cross over trial examining the linguistic markers of depression and anxiety in symptomatic adults.

Linguistic features within individuals' text data may indicate their mental health. This trial exami...

Comparison of Expert Vocabulary Usage Patterns between Mental Health and Non-Mental Health Clinicians When Diagnosing Pediatric Anxiety Disorders.

OBJECTIVE: To compare the utilization patterns of expert vocabulary (EVo) in diagnosing pediatric an...

Beyond Adverse Childhood Experiences: What Should be Considered for Trauma-Focused Adolescent Mental Health Risk Assessments?

To align with emerging policies for adolescents, feasible, accurate, and equitable trauma-focused as...

Generative AI may create a socioeconomic tipping point through labour displacement.

Work is fundamental to societal prosperity and mental health, providing financial security, a sense ...

Future Me, a Prospection-Based Chatbot to Promote Mental Well-Being in Youth: Two Exploratory User Experience Studies.

BACKGROUND: Digital interventions have been proposed as a solution to meet the growing demand for me...

Teachers' technology acceptance of language skills applications use for children with autism spectrum disorders.

PURPOSE: Digital technology fosters great opportunities to care children with autism spectrum disord...

Machine Learning-Based Classifier for Identifying Inpatients With Schizophrenia at High Risk of Suicide.

AIMS: The suicide rate of individuals with schizophrenia is higher than the general population. In c...

Graph Convolutional Neural Network-Enabled Frontier Molecular Orbital Prediction: A Case Study with Neurotransmitters and Antidepressants.

With the advancement of artificial intelligence-embedded methodologies, their application to predict...

Transformer-based structural connectivity networks for ADHD-related connectivity alterations.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder ...

Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression.

Recently, dementia research has primarily concentrated on using Magnetic Resonance Imaging (MRI) to ...

Prediction of suicidal attempts among Chinese adolescents with mood disorders: a clinical study using a machine learning approach.

Predicting clozapine-induced adverse drug reaction biomarkers using machine learning.

Clozapine is an atypical antipsychotic used for patients with treatment-resistant schizophrenia. Thi...

Utilizing CBNet to effectively address and combat cyberbullying among university students on social media platforms.

Cyberbullying can profoundly impact individuals' mental health, leading to increased feelings of anx...

Efficacy of swarm-based neural networks in automated depression detection.

As depression becomes a global pandemic, this research paper presents a comprehensive study for depr...

Leveraging computational linguistics and machine learning for detection of ultra-high risk of mental health disorders in youths.

Mental illnesses often manifest through behavioral changes, with speech serving as a key medium for ...

Advancing Early Detection of Major Depressive Disorder Using Multisite Functional Magnetic Resonance Imaging Data: Comparative Analysis of AI Models.

BACKGROUND: Major depressive disorder (MDD) is a highly prevalent mental health condition with signi...

Development and Validation of a Large Language Model-Powered Chatbot for Neurosurgery: Mixed Methods Study on Enhancing Perioperative Patient Education.

BACKGROUND: Perioperative education is crucial for optimizing outcomes in neuroendovascular procedur...

Vision transformer and complex network analysis for autism spectrum disorder classification in T1 structural MRI.

BACKGROUND: Autism spectrum disorder (ASD) affects social interaction, communication, and behavior. ...