Background Major depressive disorder is characterized by a depressed mood or feeling of
sadness, loss of interest or pleasure in everyday activities. Depressed individuals have a …

Recently, there has been an increase in the production of devices to monitor mental health
and stress as means for expediting detection, and subsequent management of these …

Diagnosis of major depressive disorder (MDD) using resting-state functional connectivity (rs-
FC) data faces many challenges, such as the high dimensionality, small samples, and …

Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …

Background The development of machine learning models for aiding in the diagnosis of
mental disorder is recognized as a significant breakthrough in the field of psychiatry …

Abstract Background and Significance: Automatic detection of depression is crucial in
today's fast-paced, depression-prone society. However, the current diagnosis still relies on …

Background Early diagnosis of major depressive disorder (MDD) could enable timely
interventions and effective management which subsequently improve clinical outcomes …

Depression and bipolar disorder are mood disorders affecting millions of people worldwide
that can have severe impacts on one's quality of life. Our ability to detect these illnesses is …

In recent years, major depressive disorder (MDD) has been shown to negatively impact
physical recovery in a variety of patients. Functional near-infrared spectroscopy (fNIRS) is a …

Background Smartphones and wearable biosensors can continuously and passively
measure aspects of behavior and physiology while also collecting data that require user …