The aim of the study is to show whether it is possible to predict infectious disease outbreaks
early, by using machine learning. This study was carried out following the guidelines of the …

The coronavirus is considered this century's most disruptive catastrophe and global concern.
This disease has prompted extreme social, psychological and economic impacts affecting …

Spatio-temporal prediction tasks play a crucial role in facilitating informed decision-making
through anticipatory insights. By accurately predicting future outcomes, the ability to …

Heart disease is one of the primary causes of morbidity and death worldwide. Millions of
people have had heart attacks every year, and only early-stage predictions can help to …

Background COVID-19 is a disease that caused a contagious respiratory ailment that killed
and infected hundreds of millions. It is necessary to develop a computer-based tool that is …

Abstract Coronavirus disease 2019 (COVID-19) has produced a global pandemic, which
has devastating effects on health, economy and social interactions. Despite the less …

Medical cyber–physical systems (MCPS) firmly integrate a network of medical objects.
These systems are highly efficacious and have been progressively used in the Healthcare …

Though COVID-19 is no longer a pandemic but rather an endemic, the epidemiological
situation related to the SARS-CoV-2 virus is develo** at an alarming rate, impacting every …

Abstract The Coronavirus Disease 2019 (COVID-19) has had a profound impact on global
health and economy, making it crucial to build accurate and interpretable data-driven …

Social networks accelerate information communication in public health emergencies. Some
negative information may cause an outbreak of public opinion crisis. Accurately predicting …