Mental illness is highly prevalent nowadays, constituting a major cause of distress in
people's life with impact on society's health and well-being. Mental illness is a complex multi …

With the advent of digital approaches to mental health, modern artificial intelligence (AI), and
machine learning in particular, is being used in the development of prediction, detection and …

Social media enables medical professionals and authorities to share, disseminate, monitor,
and manage health-related information digitally through online communities such as Twitter …

Background The study of depression and anxiety using publicly available social media data
is a research activity that has grown considerably over the past decade. The discussion …

As part of the eRisk2018 shared task on depression, which consists in the early assessment
of depression risk in social media users, we implement a system based on the topic …

Objective We aim to use large language models (LLMs) to detect mentions of nuanced
psychotherapeutic outcomes and impacts than previously considered in transcripts of …

Background Online communities provide support for individuals looking for help with
suicidal ideation and crisis. As community data are increasingly used to devise machine …

Early detection and intervention for relapse is important in the treatment of schizophrenia
spectrum disorders. Researchers have developed AI models to predict relapse from patient …

Discovering individuals depression on social media has become increasingly important.
Researchers employed ML/DL or lexicon-based methods for automated depression …

Over the years, the growth and use of technology in daily life is undeniably fast. Everything is
going to be smart with the technology use, from home to vehicle, devices to factories etc …