In the last few years, the rapid growth of the available digitised medical data has opened new challenges for the scientific research community in the healthcare informatic field. In this scenario, the constantly increasing volume of medical data, as well as the complexity and heterogeneity of this kind of data, requires innovative Big Data Analytics methods for extracting valuable insights from them and, at the same time, these new approaches must also guarantee the required levels of privacy and security. These solutions must provide effective and efficient tools to support the daily routine of physicians, medical professionals, and policy makers, improving the quality of the healthcare systems. The recent pandemic emergency has made the need for new Big Data approaches for the processing of such data more urgent.
Call For Paper
This Special Issue will be focused on technologies and methodologies in the field of Big Data Analytics for eHealth, also considering their combined use with Internet of Thing (IoT) devices, Artificial Intelligence (AI) methods, and Cyber Security (CS) techniques for the definition of complex systems and architectures for the eHealth domain. A special regard will be paid to papers devoted to the analysis of COVID-19-related Big Data. Contributions can focus on architectures, algorithms, methods; survey papers and reviews are also welcomed.