Background Along with its high infectivity and fatality rates, the 2019 Corona Virus Disease
(COVID-19) has caused universal psychosocial impact by causing mass hysteria, economic …

Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

The recent devastating pandemic has drastically reminded humanity of the importance of
constant scientific and technological progress. A strong interdisciplinary dialogue between …

The COVID-19 pandemic caused by the novel coronavirus SARS-CoV-2 occurred
unexpectedly in China in December 2019. Tens of millions of confirmed cases and more …

Background Machine learning (ML) is a growing field in medicine. This narrative review
describes the current body of literature on ML for clinical decision support in infectious …

Artificial intelligence (AI) represents a valuable tool that could be widely used to inform
clinical and public health decision-making to effectively manage the impacts of a pandemic …

The main objective of this systematic review is to synthesize the available evidence on the
influence of parental styles and dimensions on the development of adolescents' …

Health personnel and community workers are at the front line of the COVID-19 emergency
response and need to be equipped with adequate knowledge related to epidemics for an …

This paper presents a critical assessment analysis on mental health detection in Online
Social Networks (OSNs) based on the data sources, machine learning techniques, and …

The term machine learning refers to a collection of tools used for identifying patterns in data.
As opposed to traditional methods of pattern identification, machine learning tools relies on …