… Improving the efficiency of healthcare infrastructure and the … expect quality healthcare
system from the healthcare units. … This paper “holds an IOT based smart healthcare system that …

… of deep learning (DL) techniques inside the healthcare sector, … Our study lays the foundation
for healthcare professionals … DL-based IoT-oriented infrastructure was introduced in [27] …

… healthcare medium as well as patients by means of applying the intelligent cloud system along
with machine learning … enabling technologies: infrastructure for collaborative enterprises (…

… The infrastructure entities such as oHealth fog and oHealth cloud may be provided by the
government to ensure reliability, and to comply with the country’s privacy related laws. However…

… , the launch of hybrid cloud and local infrastructures, and scalability. In … intelligence,
machine learning, big data, etc.) play an important role in the implementation of the smart hospital …

… –HaaS (Healthcare as a service): Infrastructure related to healthcare is delivered as a
service and it can bring significantly cost effective solution for the healthcare organizations. …

… framework presented in this study has the potential to help national healthcare systems in …
framework integrated with machine learning to combat COVID-19 in smart cities from multiple …

… smart healthcare systems that highlight the significant areas of research, including wearable
and smartphone-based health monitoring, machine learning … appropriate infrastructure that …

… Machine learning (ML) models are growingly used in the controllers of these IoT-enabled …
We consider an internet of medical things-enabled safety-critical CPS naming smart healthcare …

… machine learning-based dataset evaluation. In [45], the authors proposed an innovative
DRL-based architecture to safeguard the digital infrastructure of a smart city … in Smart Healthcare …