Psychiatry

IoT and AI-Based Application for Automatic Interpretation of the Affective State of Children Diagnosed with Autism.

In the context in which it was demonstrated that humanoid robots are efficient in helping children d...

Polysomnographic identification of anxiety and depression using deep learning.

Anxiety and depression are common psychiatric conditions associated with significant morbidity and h...

Effect of Different Nursing Interventions on Discharged Patients with Cardiac Valve Replacement Evaluated by Deep Learning Algorithm-Based MRI Information.

This study was aimed to explore the application of cardiac magnetic resonance imaging (MRI) image se...

Assessment and counseling to get the best efficiency and effectiveness of the assistive technology (MATCH): Study protocol.

AIMS: To determine the psychosocial impact of assistive technology(AT) based on robotics and artific...

The Role of Gabapentinoids in the Substance Use Pattern of Adult Germans Seeking Inpatient Detoxification Treatment - A Pilot Study.

To shed more light on the addictive power of the gabapentinoids (GPTs) gabapentin and pregabalin, we...

Missing data imputation in clinical trials using recurrent neural network facilitated by clustering and oversampling.

In clinical practice, the composition of missing data may be complex, for example, a mixture of miss...

Short-Text Classification Detector: A Bert-Based Mental Approach.

With the continuous development of the Internet, social media based on short text has become popular...

Design and Evaluation of a Postpartum Depression Ontology.

OBJECTIVE: Postpartum depression (PPD) remains an understudied research area despite its high preval...

Genetic Programming-Based Feature Selection for Emotion Classification Using EEG Signal.

The COVID-19 has resulted in one of the world's most significant worldwide lock-downs, affecting hum...

Commentary to "Translational machine learning for child and adolescent psychiatry".

In this commentary on 'Translational Machine Learning for Child and Adolescent Psychiatry,' by Dwyer...

A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels.

In this paper, we introduce a new variation of the Convolutional Neural Network Inception block, cal...

Exploration and Strategy Analysis of Mental Health Education for Students in Sports Majors in the Era of Artificial Intelligence.

This study aims to explore new educational strategies suitable for the mental health education of co...

An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data.

Functional magnetic resonance imaging (fMRI) as a promising tool to investigate psychotic disorders ...

Sentiment Analysis of Statements on Social Media and Electronic Media Using Machine and Deep Learning Classifiers.

When it comes to our everyday life, emotions have a critical role to play. It goes without saying th...

Disruptive innovation in psychiatry.

Disruptive innovation is a cornerstone of various disciplines, particularly in the business world, w...

Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders.

Classification and Detection of Autism Spectrum Disorder Based on Deep Learning Algorithms.

Autism spectrum disorder (ASD) is a type of mental illness that can be detected by using social medi...

Technology Matters: Machine learning approaches to personalised child and adolescent mental health care.

There has been much interest in the potential for machine learning and artificial intelligence to en...

Acceptability and Preliminary Results of Technology-Assisted Balance Training in Parkinson's Disease.

(1) Background: Parkinson's Disease (PD) is one of the most common causes of disability among older ...

Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning.

Autism spectrum disorder (ASD) is the fourth most common neurodevelopmental disorder, with a prevale...

Expressions of anger during advising on life dilemmas predict suicide risk among college students.

Research has demonstrated a relationship between anger and suicidality, while real-time authentic em...