Objective To investigate the relationship between adverse childhood experiences (ACEs) and health outcomes in childhood-onset ...

Background The high prevalence of atrial fibrillation (AF) and its association with cardiovascular (CV) outcomes represent a ...

Introduction Ethnic disparities in reproductive, maternal, neonatal and child health (RMNCH) persist in Latin America, rooted ...

Objective Children and young people (CYP) with special educational needs (SENs) have an increased risk of psychopathology and ...

Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.

ABSTRACT: Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often ...

Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches rely on ...

This project was developed as part of a comprehensive study on machine learning techniques using the R programming language and the caret package. The project demonstrates practical applications of ...

Abstract: Transformer is the core equipment in power system, its running state directly affects the safety and economy of power grid. Traditional transformer fault diagnosis methods often rely on ...

Abstract: The examination of student mental health is a significant area of scholarly investigation that seeks to comprehend and address the psychological and emotional well-being of students within ...