Background Mental health disorders are currently the main contributor to poor quality of life
and years lived with disability. Symptoms common to many mental health disorders lead to …

As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …

This paper proposes a new depression detection system based on LLMs that is both
interpretable and interactive. It not only provides a diagnosis, but also diagnostic evidence …

With the rapid growth of information transmission via the Internet, efforts have been made to
reduce network load to promote efficiency. One such application is semantic computing …

Depression has a large impact on one's personal life, especially during the COVID-19
pandemic. People have been trying to develop reliable methods for the depression …

Users of social platforms often perceive these sites as supportive spaces to post about their
mental health issues. Those conversations contain important traces about individuals' health …

The recent coronavirus disease (COVID-19) has become a pandemic and has affected the
entire globe. During the pandemic, we have observed a spike in cases related to mental …

Multimodal depression detection through internet-based data such as social media
platforms has been an important problem in the research community aiming to predict …

Depression is a common mental disorder that requires objective and valid assessment tools.
However, purely data-driven methods cannot satisfy the clinical diagnostic criteria for …

The significance of mental health classification is paramount in contemporary society, where
digital platforms serve as crucial sources for monitoring individuals' well-being. However …