… centric drug identification [13], and ubiquitous healthcare [14, 15]. Many of … development of
IoT-enabled medical applications with the aim at increasing the abilities of healthcare systems …

… technologies in the healthcare industry. We examine the development of smart technologies,
and the necessary security requirements for implementation into the healthcare industry. …

… Using deep learning composition to obtain promising results but, there are many unsolved
challenges facing in healthcare applications. So we highlight the following key points [75] as …

… Most health and medical applications require secure, gainful, strong, and adaptable permission
to the clinical records. These necessities actualize the need to have some cloud storage …

… IoT applications are data gathering and processing. Due to the large amount of data involved
in healthcare… as well as a review of the various state of the art applications of ML algorithms …

… Results from this work provide detailed descriptions of the user-centered design and
system development and have heuristic value for those venturing into the area of technology-based …

… Using those perspectives, we proposed a simple framework to analyse the use of context in
health care applications, choosing three main axes to characterize context. These axes refer, …

… 3, we present relevant review works that have been conducted in the field of health care
using … Blockchain distributed ledger technologies for biomedical and health care applications. …

… In a modern, model driven application development, the position of DCM needs to be visible
in the overall health care enterprise, in the system development cycle and in the various …

… Smart Healthcare is an intelligent infrastructure that transfers … IoT system and also implements
processing from cloud and fog computing. In various applications, we can use HealthCare …