The literature on artificial intelligence (AI) or machine learning (ML) in mental health and
psychiatry lacks consensus on what “explainability” means. In the more general XAI …

Deep learning algorithms have been moderately successful in diagnoses of diseases by
analyzing medical images especially through neuroimaging that is rich in annotated data …

Anxiety disorders have seen an elevating number since the Covid-19 pandemic. This paper
aims at identifying more about the various anxiety disorders using machine learning …

Obsessive-compulsive disorder (OCD) is a common mental disease, which can exist as a
separate disease or become one of the symptoms of other mental diseases. With the …

Obsessive-compulsive disorder (OCD) brings many problems to patients. Redundant
information in the OCD data can be removed to preserve valuable biological functions …

Early diagnosis is crucial to slowing the progression of Alzheimer's disease (AD), so it is
urgent to find an effective diagnostic method for AD. This study intended to investigate …

Abstract Machine learning approaches are increasingly being applied to neuroimaging data
from patients with psychiatric disorders to extract brain-based features for diagnosis and …

The COVID-19 pandemic has forced many people to limit their social activities, which has
resulted in a rise in mental illnesses, particularly depression. To diagnose these illnesses …

Machine learning techniques, originating largely in the fields of computer science and
engineering, have transformed the landscape of multivariate modeling in many scientific …

Obsessive-compulsive disorder (OCD) affects a significant portion of the United States
population. The present study investigated the complex relationships among OCD severity …