Title
Health Sensors Information Processing and Analytics Using Big Data Approaches.
Abstract
In order of maintain the sustainability of the public health systems it is necessary to develop new medical applications to reduce the affluence of chronic and dependent people to care centers and enabling the management of chronic diseases outside institutions Recent advances in wireless sensors technology applied to e-health allow the development of "personal medicine" concept, whose main objective is to identify specific therapies that make safe and effective individualized treatment of patients based for example in remote monitoring. The volume of health information to manage, including data from medical and biological sensors make necessary to use Big Data and IoT concepts for an adequate treatment of this kind of information. In this paper we present a general approach for sensor's information processing and analytics based on Big Data concepts.
Year
DOI
Venue
2015
10.1007/978-3-319-47063-4_52
Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering
Keywords
Field
DocType
Big data,Internet of things,Cloud computing,Elderly,Sensors
Public health,Data science,Information processing,Computer science,Computer security,Analytics,Big data,Sustainability,Personalized medicine,The Internet,Cloud computing
Conference
Volume
ISSN
Citations 
169
1867-8211
0
PageRank 
References 
Authors
0.34
4
4