Title :
Intelligent and defensive framework for decision-making systems-of-systems with applications to healthcare
Author :
Rusu, Ana ; Taggart, Douglas ; Desmond, K. ; Lopez, H.
Author_Institution :
Dept. of Comput. Sci., Rowan Univ., Glassboro, USA
Abstract :
As technology becomes more prevalent in everyday life, the need to build highly complex systems grows. With this increase in complexity, there is also an increase in the importance of assisting the decision-making of these systems. In this paper, we propose a framework that can assist a system or even series of systems according to user-provided or computer-generated intelligence. Instances of the framework can be deployed on several different machines, possibly in parallel, with the ability to communicate to one another. The framework itself is a system of systems, made up of several modules to read, store, and analyze functionality or data of any type towards making intelligent decisions. We start by introducing the general overview of our framework, followed by a detailed description of its components, and we conclude with providing a potential improvement to a healthcare system of systems.
Keywords :
decision making; health care; medical computing; systems engineering; computer-generated intelligence; decision-making systems-of-system; defensive framework; healthcare system of system; intelligent decision making; intelligent framework; Biomedical monitoring; Engines; Knowledge based systems; Medical services; Monitoring; Systems engineering and theory; Medical Systems; Systems Engineering; Systems of Systems;
Conference_Titel :
Systems Conference (SysCon), 2013 IEEE International
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-3107-4
DOI :
10.1109/SysCon.2013.6549971