西安交通大学学报
西安交通大學學報
서안교통대학학보
JOURNAL OF XI'AN JIAOTONG UNIVERSITY
2010年
4期
23-27
,共5页
许晓雯%王嘉寅%唐佩佳%王玉珏
許曉雯%王嘉寅%唐珮佳%王玉玨
허효문%왕가인%당패가%왕옥각
肾移植管理%肾源分配网络%肾源交换%局内交换机制%竞争分析
腎移植管理%腎源分配網絡%腎源交換%跼內交換機製%競爭分析
신이식관리%신원분배망락%신원교환%국내교환궤제%경쟁분석
kidney transplantation management%kidney assignment network%kidney exchange%online exchange mechanism%competitive analysis
通过考虑有配型不合适的肾捐赠者的患者,同时为了最大化患者的整体疗效,发掘潜在的肾源数量,提出了一种肾源分配网络的局内交换机制.机制设有2个缓冲池,分别存放普通患者和失去活体捐赠者的患者的信息,而有捐赠者但配型不合适的患者等待进入缓冲池.通过寻找患者与活体捐赠者之间的交换圈实现活体肾源交换;通过寻找涵盖普通患者的交换路径同时结合常规肾源,实施分配.在法律允许的情况下,该机制能够通过提升患者的优先等级继续发掘潜在的肾资源.竞争分析结果显示,分配交换机制的竞争比的数学期望受配型概率分布的影响.并依概率收敛,患者的总误配数期望收敛于最优值数学期望的3.13倍,机制的改进比仿真平均值为2.80,平均白细胞抗原错配位点下降35.6%.
通過攷慮有配型不閤適的腎捐贈者的患者,同時為瞭最大化患者的整體療效,髮掘潛在的腎源數量,提齣瞭一種腎源分配網絡的跼內交換機製.機製設有2箇緩遲池,分彆存放普通患者和失去活體捐贈者的患者的信息,而有捐贈者但配型不閤適的患者等待進入緩遲池.通過尋找患者與活體捐贈者之間的交換圈實現活體腎源交換;通過尋找涵蓋普通患者的交換路徑同時結閤常規腎源,實施分配.在法律允許的情況下,該機製能夠通過提升患者的優先等級繼續髮掘潛在的腎資源.競爭分析結果顯示,分配交換機製的競爭比的數學期望受配型概率分佈的影響.併依概率收斂,患者的總誤配數期望收斂于最優值數學期望的3.13倍,機製的改進比倣真平均值為2.80,平均白細胞抗原錯配位點下降35.6%.
통과고필유배형불합괄적신연증자적환자,동시위료최대화환자적정체료효,발굴잠재적신원수량,제출료일충신원분배망락적국내교환궤제.궤제설유2개완충지,분별존방보통환자화실거활체연증자적환자적신식,이유연증자단배형불합괄적환자등대진입완충지.통과심조환자여활체연증자지간적교환권실현활체신원교환;통과심조함개보통환자적교환로경동시결합상규신원,실시분배.재법률윤허적정황하,해궤제능구통과제승환자적우선등급계속발굴잠재적신자원.경쟁분석결과현시,분배교환궤제적경쟁비적수학기망수배형개솔분포적영향.병의개솔수렴,환자적총오배수기망수렴우최우치수학기망적3.13배,궤제적개진비방진평균치위2.80,평균백세포항원착배위점하강35.6%.
An online exchange mechanism is proposed based on the kidney assignment network to maximize both the post-operation benefits of patients and the number of potential kidney resources when some patients have living donors who are not suitable in clinical experiments. Two buffers are built up to sort the information of common patients and those who loss living donors, separately. The pairs of patients and their un-suitable donors are waiting to enter the buffers. The exchange circles are checked firstly to implement exchanges among patients and living donors. Then the exchange route covering common patients is considered to make both assignment and exchange, and all patients and traditional kidney resources are taking into account in assignment. The mechanism is able to find out more resources through rising the priority levels of patients under allowance of laws. The result of competitive analysis shows that the mathematical expectation competitive rate is influenced by HLAmm distribution, is p. d. to certain value in theory, and the assignment network can control the expectation of HLAmm sum in 3. 13 times of optimal one. The average improvement rate is 2. 80, that means, average of HLAmm will decrease 35. 6% by using the proposed mechanism.