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 …

Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …

Psychological distress is a major contributor to human physiology and pathophysiology, and
it has been linked to several conditions, such as auto-immune diseases, metabolic …

Background The past few years have seen a rapid emergence of artificial intelligence (AI)-
enabled technology in the field of sleep medicine. AI refers to the capability of computer …

Natural language processing (NLP) stands halfway between computer science
computational linguistics, and it is dedicated to the conversion of written and spoken natural …

We introduce a multi-step reasoning framework using prompt-based LLMs to examine the
relationship between social media language patterns and trends in national health …

Finding actual causes of unmanned aerial vehicle (UAV) failures can be split into two main
tasks: building causal models and performing actual causality analysis (ACA) over them …

Background: Intervening in and preventing diabetes distress requires an understanding of
its causes and, in particular, from a patient's perspective. Social media data provide direct …

Operating nuclear power plants (NPPs) generate and collect large amounts of equipment
reliability (ER) element data that contain information about the status of components, assets …

Objective To evaluate the consistency of causal statements in observational studies
published in The BMJ. Design Review of observational studies published in a general …