Social media is now being used to model mental well-being, and for understanding health
outcomes. Computer scientists are now using quantitative techniques to predict the …

Objective: Suicide is a growing public health concern with a global prevalence of
approximately 800,000 deaths per year. The current process of evaluating suicide risk is …

" Human-centered machine learning"(HCML) combines human insights and domain
expertise with data-driven predictions to answer societal questions. This area's inherent …

A psychological disorder is a mutilation state of the body that intervenes the imperative
functioning of the mind or brain. In the last few years, the number of psychological disorders …

A growing body of research is combining social media data with machine learning to predict
mental health states of individuals. An implication of this research lies in informing evidence …

Schizophrenia is a severe mental disorder that ranks among the leading causes of disability
worldwide. However, many cases of schizophrenia remain untreated due to failure to …

Background: Linguistic analysis of publicly available Twitter feeds have achieved success in
differentiating individuals who self-disclose online as having schizophrenia from healthy …

Psychopathology is the scientific exploration of abnormal mental states that, for more than a
century, has provided a Gestalt for psychiatric disorders and guided clinical as well as …

Online social media provides a channel for monitoring people's social behaviors from which
to infer and detect their mental distresses. During the COVID-19 pandemic, online social …

Artificial Intelligence in healthcare employs machine learning algorithms to emulate human
cognition in the analysis of complicated or large sets of data. Specifically, artificial …