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 …

High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …

BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …

Recent advances in AI and machine learning (ML) promise significant transformations in the
future delivery of healthcare. Despite a surge in research and development, few works have …

Suicide is a leading cause of death that defies prediction and challenges prevention efforts
worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as a means …

Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …

This narrative review explores the transformative impact of Artificial Intelligence (AI) on
mental health nursing, particularly in enhancing psychiatric patient care. AI technologies …

Data Mining in medicine is an emerging field of great importance to provide a prognosis and
deeper understanding of disease classification, specifically in Mental Health areas. The …

Abstract Language is a potential source of predictors for suicidal thoughts and behaviors
(STBs), as changes in speech characteristics, communication habits, and word choice may …

Background Mental disorders have become a major concern in public health, and they are
one of the main causes of the overall disease burden worldwide. Social media platforms …