The extensive growth of data in the health domain has increased the utility of Deep Learning
in health. Deep learning is a highly advanced successor of artificial neural networks, having …

With the widespread use of smartphones and wearable health sensors, a plethora of mobile
health (mHealth) applications to track well-being, run human behavioral studies, and clinical …

Mobile health (mHealth) is considered one of the most transformative drivers for health
informatics delivery of ubiquitous medical applications. Machine learning has proven to be a …

The advent and increasing implementation of user configured and user oriented systems
structured around the use of cloud configured information and the Internet of Things is …

The last decade has witnessed an exponential increase in older adult population suffering
from chronic life-long diseases and needing healthcare. This situation has highlighted a …

In today's world, Cloud computing based health cloud is an effective platform for enhancing
e-health productivity, ie, healthcare professionals can provide medical service by accessing …

Privacy-preserving cloud data sharing requires user authentication, access control, and
privacy provisioning mechanisms. In this paper, we propose two schemes, keyword-based …

Abstract mHealth is gradually leveraging changes in the way health care can be delivered.
This transformation is driven by increased mobile devices' penetration and capabilities …

Novel information and communication technologies create possibilities to change the future
of health care and support. Ambient Assisted Living (AAL) is seen as a promising alternative …

The mobile health (mHealth) and electronic health (eHealth) systems are useful to maintain
a correct administration of health information and services. However, it is mandatory to …