In Time Access of Biomedical Data through Ant Colony Optimization
Health care is becoming one of the country’s top priorities. This means that there is an increasing demand for quality medical devices, disease management plans, equipment and procedures, as well a need to improve cost-effectiveness. To cope up with this demand there is a need to manage the biomedical data in an effective manner. This progression involves the use of many distributed resources, such as high performance computational resources to analyze the biomedical data, mass storage systems to store them ,the medical instruments ,and advanced visualization and rendering tools. Grids offer the computational power, security and availability needed by such novel applications. The real time biomedical data acquisition plays a prominent role in times of emergency in health care environment. Grid is a distributed environment where data has to be accessed from different computational resources which may limit the in time accessibility of data. In this paper we are focusing on the need for storing the biomedical data on the grids and proposing Ant Colony Optimization algorithm which could be one of the possible solutions to make the crucial data on grids arrive in time before the treatment of the emergency patient is started.
KeywordsGrid Ant colony optimization Electronic health records pheromone
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- 2.Risk, M., Castrilloy, F.P., Francisco, J., Eijo, G., Ortegay, C.S., Fernandezy, M.B., Diazy, A.P., del Solary, M.R., Pollany, R.R.: CardioGRID: a framework for the analysis of cardiological signals in GRID computing. In: Network Operations and Managent Symposium, LANMOS 2009, pp. 1–4 (2009)Google Scholar
- 4.Foster, I.: What is the Grid? A 3-point Check List. Grid Today 1(6) (June 2002)Google Scholar
- 5.Duan, H., Ma, G., Liu, S.: Experimental study of adjustable parameters in basic Ant colony Optimization Algorithm. In: 2007 IEEE Congress on Evolutionary Computation (CEC 2007), pp. 147–156 (2007)Google Scholar
- 7.Mageean, R.J.: Study of ”Discharge Communication” from Hospital. Br. Med. J. (CLIN. RES. ED.) 293(6557), 1283–1284 (1986)Google Scholar
- 8.Chen, W.-N., Zhang, J.: An Ant Colony optimization Approach to a GRID Workflow Scheduling Problem with various QoS Requirement. IEEE Transactions on Systems, Man and Cybernetics - Part C: Appilcations & Reviews 39(1), 29–43 (2009)Google Scholar