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In this work, we consider the problem of allocating doctors in the ambulatory area of a hospital's emergency department (ED) based on a set of policies. Traditional staffing methods are static, hence do not react well to surges in patient demands. We study strategies that intelligently adjust the number of doctors based on current and historical information about the patient arrival. Our main contribution...
In order to solve assignment problem in inventing mass media context and improve assignment efficiency and system stability, this paper analyzes the transition of Markov chain state and introduces a queues assignment model. The paper proposes an adaptive task assignment method suitable for mass media context invention by studying the key factors affecting system state transition. Experimental results...
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