Dynamic Context Adaptation for Diagnosing the Heart Disease in Healthcare Environment Using Optimized Rough Set Approach

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.