Generalized anxiety disorder (GAD) and major depressive disorder (MDD) are highly
prevalent and impairing problems, but frequently go undetected, leading to substantial …

Background As depression is the leading cause of disability worldwide, large-scale surveys
have been conducted to establish the occurrence and risk factors of depression. However …

Anxiety and depression are distinct—albeit overlapping—psychiatric diseases, currently
diagnosed by self-reported-symptoms. This research presents a new diagnostic …

Mental illnesses, such as depression, are highly prevalent and have been shown to impact
an individual's physical health. Recently, artificial intelligence (AI) methods have been …

Informatics paradigms for brain and mental health research have seen significant advances
in recent years. These developments can largely be attributed to the emergence of new …

Background In this modern era, depression is one of the most prevalent mental disorders
from which millions of individuals are affected today. The symptoms of depression are …

Introduction Machine learning capability holds promise to inform disease models, the
discovery and development of novel disease modifying therapeutics and prevention …

Background Quantitative electroencephalogram (EEG) is one neuroimaging technique that
has been shown to differentiate patients with major depressive disorder (MDD) and non …

Background Predicting the onset and course of mood and anxiety disorders is of clinical
importance but remains difficult. We compared the predictive performances of traditional …

Depression is one of the most common mental health problems in middle-aged and elderly
people. The establishment of risk factor-based depression risk assessment model is …