Abstract Purpose of Review The present review synthesizes recent literature on social
determinants and mental health outcomes and provides recommendations for how to …

Psychological health, ie, citizens' emotional and mental well-being, is one of the most
neglected public health issues. Depression is the most common mental health issue and the …

Stress is the most prevailing and global psychological condition that inevitably disrupts the
mood and behavior of individuals. Chronic stress may gravely affect the physical, mental …

Background Machine learning has attracted considerable research interest toward
develo** smart digital health interventions. These interventions have the potential to …

The advancements in genomics and biomedical technologies have generated vast amounts
of biological and physiological data, which present opportunities for understanding human …

The past decade has been transformative for mental health research and practice. The
ability to harness large repositories of data, whether from electronic health records (EHR) …

The concept of intelligent health (iHealth) in mental healthcare integrates artificial
intelligence (AI) and Big Data analytics. This article is an attempt to outline ethical aspects …

Background Early detection and prediction of suicidal behaviour are key factors in suicide
control. In conjunction with recent advances in the field of artificial intelligence, there is …

The objective of this paper is to present a bibliometric analysis of the applications of Data
Mining (DM) and Machine Learning (ML) techniques in the context of public health from …

Background Although the potential of big data analytics for health care is well recognized,
evidence is lacking on its effects on public health. Objective The aim of this study was to …