Abstract Background Machine Learning (ML) models have been used to predict common
mental disorders (CMDs) and may provide insights into the key modifiable factors that can …

Objectives This study underscores the importance of exploring AI's creative applications in
treating depressive disorders to revolutionize mental health care. Through innovative …

Introduction While numerous studies have identified an increase in symptoms of depression
as well as anxiety and distress due to the COVID-19 pandemic, relatively few studies have …

(1) Background: The aims of this survey were to assess the perceived health status and to
evaluate the use of healthcare services during the pandemic period.(2) Methods: This cross …

After a first episode of major depressive disorder (MDD), there is substantial risk for a long-
term remitting-relapsing course. Prevention and early interventions are thus critically …

While immunity and psychological distress are strongly associated, studies seldom consider
how different types of distress relate to immune functioning. The literature tends to emphasis …

COVID-19 infection is known to trigger a significant inflammatory response in the body. This
response, characterized by elevated levels of cytokines including TNF-α that has proven to …

International students are susceptible to several mental health disorders, including anxiety
and depression amid the COVID-19 pandemic due to the implementation of epidemic …

Through the use of computers and communication devices, information and communication
technology (ICT), has recently had a major influence on the healthcare sector. Smart …

While immunity and psychological distress are strongly associated, studies seldom consider
how different types of distress relate to immune functioning. The literature tends to emphasis …