… The improvements and advancements in the various technologies like deep learning and
machine learning have led to increased interests and larger affinity towards the development …

… Diabetes” that manages patients with diabetes using machine learning, medical big data, …
analytics as infrastructure, and using multiple systems together in a composite [24]. IoT and …

… throughout an Internet of Medical Things infrastructure. This article focuses only on smart
healthcare devices and applications, machine learning-based automated diagnostic systems, …

… healthcare systems have to be upgraded with new capabilities such as data analytics,
machine learning, intelligent … to design and develop intelligent healthcare solutions assisted by …

… -making management that can include machine learning and use of AI. Moreover, the technical
… Nevertheless, should a smart hospital infrastructure be sustainable designed in order to …

… Smart Hospital will play a key role in improving the quality of … population with the current
infrastructure and facilities provided … analytics, and machine learning, smart healthcare is a new …

… Our most important goal in this paper is to design a framework for a healthcare system as
a critical infrastructure based on a wireless sensor network that is safe against unauthorized …

… in healthcare infrastructure has enabled the use of machine … In this paper, we propose
and highlight smart healthcare … sensor-cloud computing and machine learning as emerging …

… , allowing communication among myriad healthcare sensor devices. … framework that integrates
machine learning and formal … machine learning models for black-box SHS threat analysis. …

… One application of the indoor wireless network is a smart hospital. Imagine such a smart
hospital … , which is the main infrastructure of many indoor wireless-based applications such as …