Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …

Autism spectrum disorder (autism) is a neurodevelopmental delay that affects at least 1 in 44
children. Like many neurological disorder phenotypes, the diagnostic features are …

The psychiatric diagnostic procedure is currently based on self-reports that are subject to
personal biases. Therefore, the diagnostic process would benefit greatly from data-driven …

Introduction Psychiatric evaluation of anxiety and depression is currently based on self-
reported symptoms and their classification into discrete disorders. Yet the substantial …

Early and accurate diagnosis of autism spectrum disorders (ASD) and tailored therapeutic
interventions can improve prognosis. ADOS-2 is a standardized test for ASD diagnosis …

Social anxiety disorder (SAD), also known as social phobia, is a psychological condition in
which a person has a persistent and overwhelming fear of being negatively judged or …

Purpose Machine learning (ML) has shown promise in modelling future self-harm but is yet
to be applied to key questions facing clinical services. In a cohort of young people accessing …

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

Background A priority for health services is to reduce self-harm in young people. Predicting
self-harm is challenging due to their rarity and complexity, however this does not preclude …

Social anxiety disorder (SAD) is characterized by persistent anxiety or avoidance of social
situations because of a fear of negative evaluation. Cognitive behavioral therapy …