@article{(Open Science Index):https://publications.waset.org/pdf/10001250,
	  title     = {Designing a Patient Monitoring System Using Cloud and Semantic Web Technologies},
	  author    = {Chryssa Thermolia and  Ekaterini S. Bei and  Stelios Sotiriadis and  Kostas Stravoskoufos and  Euripides G.M. Petrakis},
	  country	= {},
	  institution	= {},
	  abstract     = {Moving into a new era of healthcare, new tools and
devices are developed to extend and improve health services, such as
remote patient monitoring and risk prevention. In this concept,
Internet of Things (IoT) and Cloud Computing present great
advantages by providing remote and efficient services, as well as
cooperation between patients, clinicians, researchers and other health
professionals. This paper focuses on patients suffering from bipolar
disorder, a brain disorder that belongs to a group of conditions
called affective disorders, which is characterized by great mood
swings. We exploit the advantages of Semantic Web and Cloud
Technologies to develop a patient monitoring system to support
clinicians. Based on intelligently filtering of evidence-knowledge and
individual-specific information we aim to provide treatment
notifications and recommended function tests at appropriate times or
concluding into alerts for serious mood changes and patient’s nonresponse
to treatment. We propose an architecture as the back-end
part of a cloud platform for IoT, intertwining intelligence devices
with patients’ daily routine and clinicians’ support.
},
	    journal   = {International Journal of Medical and Health Sciences},
	  volume    = {9},
	  number    = {5},
	  year      = {2015},
	  pages     = {1110 - 1117},
	  ee        = {https://publications.waset.org/pdf/10001250},
	  url   	= {https://publications.waset.org/vol/101},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 101, 2015},
	}