Psychiatry

Algorithms and the future of work.

An algorithm refers to a series of stepwise instructions used by a machine to perform a mathematical...

A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data.

BACKGROUND: Depression (Major Depressive Disorder) is one of the most common mental illnesses. Accor...

Enhancing the quality of cognitive behavioral therapy in community mental health through artificial intelligence generated fidelity feedback (Project AFFECT): a study protocol.

BACKGROUND: Each year, millions of Americans receive evidence-based psychotherapies (EBPs) like cogn...

Analysis of College Students' Psychological Education Management in Public Emergencies Based on Big Data.

In recent years, college students' psychological problems have occurred frequently, and the early wa...

Predicting Mental Health of Best Human Capital for Sustainable Organization through Psychological and Personality Health Issues: Shift from Traditional to Novel Machine Learning-Supervised Technique Approach.

Researchers in the past discussed the psychological issue like stress, anxiety, depression, phobias ...

Construction and Analysis of Emotion Recognition and Psychotherapy System of College Students under Convolutional Neural Network and Interactive Technology.

This study's aim is to effectively establish a psychological intervention and treatment system for c...

Comparison of three machine learning models to predict suicidal ideation and depression among Chinese adolescents: A cross-sectional study.

BACKGROUND: Machine learning (ML) algorithms based on various clinicodemographic, psychometric, and ...

A Natural Language Processing (NLP) Evaluation on COVID-19 Rumour Dataset Using Deep Learning Techniques.

: Since December 2019, the coronavirus (COVID-19) epidemic has sparked considerable alarm among the ...

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 univ...

Correlation Analysis between Higher Education Level and College Students' Public Mental Health Driven by AI.

Generally, there is a certain correlation between the level of higher education and the public menta...

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, cha...

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 bro...

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 m...

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....

Accident Liability Determination of Autonomous Driving Systems Based on Artificial Intelligence Technology and Its Impact on Public Mental Health.

With the rise of self-driving technology research, the establishment of a scientific and perfect leg...

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, techno...

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 techn...

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)...

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...

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 detecti...