Paper Info
Title
Distributed Data Mining in a Ubiquitous Healthcare Framework
Abstract
Ubiquitous Healthcare (u-healthcare) which focuses on automated applications that can provide healthcare to citizens anywhere/anytime using wired and wireless mobile technologies is becoming increasingly important. Ubiquitous healthcare data provides a mine of hidden knowledge which can be exploited in preventive care and "wellness" recommendations. Data mining is therefore a significant aspect of such systems. Distributed Data mining (DDM) techniques for knowledge discovery from databases help in the thorough analysis of data collected from healthcare facilities enabling efficient decision-making and strategic planning. This paper presents and discusses the development of a prototype ubiquitous healthcare system. The prospects for integrating data mining into this framework are studied using a distributed data mining system. The DDM system employs a mixture modelling mechanism for data partitioning. Initial results with some standard medical databases offer a plausible outlook for future integration.
Year
DOI
Venue
2007
10.1007/978-3-540-72665-4_23
Canadian Conference on AI
Keywords
Field
DocType
ddm system,data mining,prototype ubiquitous healthcare system,ubiquitous healthcare data,knowledge discovery,ubiquitous healthcare,standard medical databases,hidden knowledge,ubiquitous healthcare framework,healthcare facility,data mining system,strategic planning,mobile technology,data collection
Data science,Health care,Mobile technology,Data mining,Wireless,Data analysis,Computer science,Knowledge management,Knowledge extraction,Healthcare system,Strategic planning,Data partitioning
Conference
Volume
ISSN
Citations 
4509.0
0302-9743
0
PageRank 
References 
Authors
0.34
6
1
Name
Order
Citations
PageRank
Murlikrishna Viswanathan1216.30