Abstract
AbstractThe cloud healthcare system is achieved based on the integration between Internet technologies and the traditional healthcare system. By combining online diagnosis and offline treatment, such a system can effectively reduce patients’ waiting time and also improve idle medical resources’ utilization ratio. In this paper, to optimize the balance of patient assignment (PA) in the cloud healthcare system, a genetic algorithm (GA) is proposed. Each individual in the proposed GA represents a solution for the PA optimization problem. Better solutions are generated by executing crossover, mutation, and selection operators in GA. Experiments verify that the proposed GA is effective in optimizing the PA problem.KeywordsPatient assignment optimizationGenetic algorithmCloud healthcare system
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