With the growing demand for hospital resources worldwide, healthcare facilities, including
Emergency Departments (EDs), look for opportunities to enhance patient care efficiency and …

Abstract Background and Objective: The agent abstraction is a powerful one, developed
decades ago to represent crucial aspects of artificial intelligence research. The meaning has …

The consumption of ultra-processed foods (UPFs) has increased in recent decades,
worldwide. Evidence on the negative impacts of food processing on health outcomes has …

Background The COVID-19 pandemic has highlighted the critical importance of robust
healthcare capacity planning and preparedness for emerging crises. However, healthcare …

In this paper, a new method is presented to study the impacts of telemedicine on the
performance of an emergency department in Spain. Spain's Demographics indicate that this …

Abstract Machine learning models can help improve health care services. However, they
need to be practical to gain wide-adoption. In this study, we investigate the practical utility of …

Abstract Accepted by: Konstantinos Nikolopoulos One of the challenges of emergency
ambulance demand (EAD) time series prediction lies in their non-stationary nature. We …

All people expect to live a healthy life. But today about eighty million people a year suffer
from non-communicable diseases. Among non-communicable diseases, heart disease and …

The prediction of the demography of Spain shows that Spain will experience an aging
population soon. Aging is a condition of chronic disease resulting in overcrowding …

Abstract Machine learning (ML) models can help improve health care services. However,
they need to be practical to gain wide adoption. A methodology is proposed in this study to …