Psychiatry

Integrating Mental Health Education into French Teaching in University Based on Artificial Intelligence Technology.

In recent years, there has been a lot of news about college students committing suicide. In the university stage students, self-esteem is stronger and more sensitive, and the ability to withstand pressure is weak. At the same time, college students are in a key stage of mental health development. School education to a certain extent for the cultivation of students' mental health has a crucial impa...

Natural Language Processing: Unlocking the Potential of Electronic Health Record Data to Support Transdiagnostic Psychiatric Research.

Machine-learning as a validated tool to characterize individual differences in free recall of naturalistic events.

The use of naturalistic stimuli, such as narrative movies, is gaining popularity in many fields, characterizing memory, affect, and decision-making. N...

The Influence of Public Mental Health Based on Artificial Intelligence Technology on the Teaching Effect of Business Administration Major.

As an emerging technology, public mental health based on artificial intelligence engineering has broad application and development prospects in improv...

Chronic back pain sub-grouped via psychosocial, brain and physical factors using machine learning.

Chronic back pain (CBP) is heterogenous and identifying sub-groups could improve clinical decision making. Machine learning can build upon prior sub-g...

Suicidal behaviour prediction models using machine learning techniques: A systematic review.

BACKGROUND: Early detection and prediction of suicidal behaviour are key factors in suicide control. In conjunction with recent advances in the field ...

The Mining Method of Ideological and Political Elements in University Public Mental Health Courses Based on Artificial Intelligence Technology.

Artificial intelligence technology has become an important part of the development of Internet technology. Artificial intelligence technology can help...

Analysis of the Effects of Arts and Crafts in Public Mental Health Education Based on Artificial Intelligence Technology.

Arts and crafts, with their very different styles due to many factors such as times, regions, technologies, and cultures and nationalities, have under...

Young children with autism show atypical prefrontal cortical responses to humanoid robots: An fNIRS study.

BACKGROUND: Previous behavioral studies have found that children with autism spectrum disorder (ASD) show greater interest in humanoid robots than in ...

Deep Learning-Based Digital Subtraction Angiography Characteristics in Nursing of Maintenance Hemodialysis Patients.

This study is aimed at exploring the diagnostic value of digital subtraction angiography (DSA) based on faster region-based convolutional networks (Fa...

Adolescent Depression Detection Model Based on Multimodal Data of Interview Audio and Text.

Depression is a common mental disease that has a tendency to develop at a younger age. Early detection of depression with psychological intervention m...

Comparisons of deep learning and machine learning while using text mining methods to identify suicide attempts of patients with mood disorders.

BACKGROUND: Suicide attempt is one of the most severe consequences for patients with mood disorders. This study aimed to perform deep learning and mac...

Research on Mental Health Monitoring Scheme of Migrant Children Based on Convolutional Neural Network Based on Deep Learning.

In recent years, with the acceleration of urbanization and the implementation of compulsory education, the pressure on students' study and life has in...

Predicting social anxiety in young adults with machine learning of resting-state brain functional radiomic features.

Social anxiety is a symptom widely prevalent among young adults, and when present in excess, can lead to maladaptive patterns of social behavior. Rece...

Socially-Assistive Robots to Support Learning in Students on the Autism Spectrum: Investigating Educator Perspectives and a Pilot Trial of a Mobile Platform to Remove Barriers to Implementation.

Technology offers educators tools that can tailor learning to students' learning styles and interests. Research into the use of socially-assistive rob...

Deep learning predicts DNA methylation regulatory variants in the human brain and elucidates the genetics of psychiatric disorders.

There is growing evidence for the role of DNA methylation (DNAm) quantitative trait loci (mQTLs) in the genetics of complex traits, including psychiat...

Classification model with weighted regularization to improve the reproducibility of neuroimaging signature selection.

Machine learning (ML) has been extensively applied in brain imaging studies to aid the diagnosis of psychiatric disorders and the selection of potenti...

An End-to-End Human Abnormal Behavior Recognition Framework for Crowds With Mentally Disordered Individuals.

Abnormal or violent behavior by people with mental disorders is common. When individuals with mental disorders exhibit abnormal behavior in public pla...

Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning.

Identifying brain abnormalities in autism spectrum disorder (ASD) is critical for early diagnosis and intervention. To explore brain differences in AS...

Extending Robot Therapy for Children with Autism Using Mobile and Web Application.

Robot treatments for children with autism have proven to be successful and effective. However, the resources needed for the treatments do not always m...