The validity of diagnostic labels of autism spectrum disorder (ASD), attention-
deficit/hyperactivity disorder (ADHD), and obsessive compulsive disorder (OCD) is an open …

Background Obsessive-compulsive disorder (OCD) is a condition with poor treatment
outcomes. Improved understanding of the aetiology can inform prevention and treatment …

Background Obsessive-compulsive disorder (OCD) is characterized by both internalizing
(anxiety) and externalizing (compulsivity) symptoms. Currently, little is known about their …

The COVID‐19 outbreak has not only affected the physical health of the public but also
resulted in severe psychological outcomes. This study aims to investigate the psychological …

A growing body of literature suggests that obsessive-compulsive disorder (OCD) is a
heterogeneous condition. The studies investigating symptom dimensions have been limited …

Objective About 30% of obsessive–compulsive disorder (OCD) patients exhibit an
inadequate response to pharmacotherapy. The detection of clinical variables associated …

Background The division of symptom themes into those related to incompleteness (INC) and
those related to harm avoidance (HA) has been identified as an alternative to conventional …

Background Obsessive-compulsive disorder (OCD) is a debilitating psychiatric disorder
characterized by intrusive thoughts or repetitive behaviors. Clinicians use serotonin …

Objective Obsessive-compulsive disorder (OCD) is a psychiatric disorder characterized by
recurrent obsessions and/or compulsions. Applying classification algorithms for prediction of …

Clustering is an unsupervised learning that divides observations into groups based on their
similarity. The most widely used clustering algorithm is k-means. However, in this clustering …