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 …

Background: Given the strong relationship between depression and anxiety, there is an urge
to investigate their shared and specific long-term course determinants. The current study …

BackgroundUse of intensive longitudinal methods (eg ecological momentary assessment,
passive sensing) and machine learning (ML) models to predict risk for depression and …

Many variables have been linked to different course trajectories of depression. These
findings, however, are based on group comparisons with unknown translational value. This …

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

BackgroundDisease trajectories of patients with anxiety disorders are highly diverse and
approximately 60% remain chronically ill. The ability to predict disease course in individual …

In light of the need for objective mechanism-based diagnostic tools, the current research
describes a novel diagnostic support system aimed to differentiate between anxiety and …

Background Depression causes significant physical and psychosocial morbidity. Predicting
persistence of depressive symptoms could permit targeted prevention, and lessen the …

Background Depression is one of the most significant health conditions in personal, social,
and economic impact. The aim of this review is to summarize existing literature in which …

Mental health related problems are responsible for great sorrow for patients and social
surrounding involved. The costs for society are estimated to be 2.5 trillion dollar worldwide …