The electroencephalography (EEG) signal is a noninvasive and complex signal that has
numerous applications in biomedical fields, including sleep and the brain–computer …

Abstract Postpartum Depression Disorder (PPDD) is a prevalent mental health condition and
results in severe depression and suicide attempts in the social community. Prompt actions …

The global prevalence of Major Depressive Disorder (MDD) is increasing at an alarming
rate, underscoring the urgent need for timely and accurate diagnoses to facilitate effective …

Major depressive disorder (MDD) is characterized by impairments in mood and cognitive
functioning, and it is a prominent source of global disability and stress. A functional magnetic …

Detecting and diagnosing major depressive disorder (MDD) is greatly crucial for appropriate
treatment and support. In recent years, there have been efforts to develop automated …

Abstract Mental Status Assessment (MSA) holds significant importance in psychiatry. In
recent years, several studies have leveraged Electroencephalogram (EEG) technology to …

As a subset of machine learning, meta-learning, or learning to learn, aims at improving the
model's capabilities by employing prior knowledge and experience. A meta-learning …

World Health Organization (WHO) has identified depression as a significant contributor to
global disability, creating a complex thread in both public and private health …

Depression is one of the most common mental disorders, and rates of depression in
individuals increase each year. Traditional diagnostic methods are primarily based on …

Major depressive disorder (MDD), commonly called depression, is a prevalent psychiatric
condition diagnosed via questionnaire-based mental status assessments. However, this …