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作 者:徐捷 王子翔 刘玉欣 刘冉[1] 杨之涛[2] XU Jie;WANG Zixiang;LIU Yuxin;LIU Ran;YANG Zhitao(School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;Department of Emergency,Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200025,China)
机构地区:[1]上海交通大学机械与动力工程学院,上海200240 [2]上海交通大学医学院附属瑞金医院急诊科,上海200025
出 处:《上海交通大学学报》2022年第8期1067-1077,共11页Journal of Shanghai Jiaotong University
基 金:国家社会科学基金资助项目(19BGL245)。
摘 要:建立患者准入控制的Markov决策过程(MDP)模型,并基于均匀化方法对该模型进行拓展,实现逐时段的实时决策过程.拓展经典MDP迭代求解方法,提出双向迭代算法、逐时段策略迭代算法等方法对模型求解.以上海某大型医院抢救室为例,数值实验表明:对比现有决策方法,所提出的新方法可以提高危重患者的接收率,提升急诊医疗的服务水平.The Markov decision process(MDP) model is developed for the patient admission control problem and is extended based on the uniformization method to realize a real-time period-by-period decision process. The classical MDP iterative method is extended, and the two-way iteration algorithm and the two-way threshold iteration algorithm are proposed to solve the new model. Numerical experiments are conducted based on the data from the resuscitation room of a large hospital in Shanghai. The results show that the proposed method can improve the admission rate of critical patients and enhance the medical service level of the hospital compared with the existing decision method.
关 键 词:患者入院控制 MARKOV决策过程 均匀化方法 时变需求
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