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 …

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

Background The COVID-19 pandemic is impacting mental health, but it is not clear how
people with different types of mental health problems were differentially impacted as the …

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 …

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 …

Background Loneliness is a public health problem that is expected to rise during the COVID-
19 pandemic, given the widespread policy of quarantine. The literature is unclear whether …

The field of digital mental health is making strides in the application of technology to
broaden access to care. We critically examine how these technology-mediated forms of care …

Evidently, online voice of customers (VoC) expressed in social media has emerged as
quality data for researchers who are willing to conduct customer-driven business …

Social media platforms are a place where people look for information and social support for
mental health, resulting in both positive and negative effects on users. TikTok has gained …

Background Despite advancements in artificial intelligence (AI) to develop prediction and
classification models, little research has been devoted to real-world translations with a user …