DYNAMIC CONTEXT ADAPTATION FOR
DIAGNOSING THE HEART DISEASE IN
HEALTHCARE ENVIRONMENT USING OPTIMIZED
ROUGH SET APPROACH
G.NaliniPriya1
, A.Kannan2
and P.Ananahakumar3
1
Research scholar ,Department of IST, Anna University, Chennai
nalini.anbu@gmail.com
2
Professor, Department of IST, Anna University, Chennai
3AssociateProfessor, Department of IT, Anna University, Chennai
ABSTRACT
In a smart medical environment, the ability to adapt context is critical. Context adaptation (CA) requires
applications to delegate adaptation control to an entity that can receive state information and trigger
adaptation in multiple applications. Thus, the idea of CA is to extract general knowledge from each
contextualized system or medical dataset and to use it, in adapted form, when facing a similar problem in a
different environment. In this paper, we describe a model for providing smart intelligent diagnosing
services to the healthcare Environment and present work on our own architecture that has been
designed to meet the key requirements of healthcare in a context-aware adaptive applications. The
proposed system is capable of providing context intelligence, Decision Making, adaptability and extensible
application framework for dynamic remote healthcare environments. The objective of the research is to
revolutionize daily human life by making people’s surroundings flexible and adaptive.
KEY WORDS
Context adaptations, CAD(coronary artery disease),Heart disease dataset , Context Aware Services,
context service discovery, rough set, Fuzzy set.
ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/3211ijsc02.pdf
No comments:
Post a Comment