{"title":"一种最优公平匹配算法及建模","authors":"Chendan, Yuxueyong","doi":"10.1109/ISCSCT.2008.333","DOIUrl":null,"url":null,"abstract":"This article studied on the optimal model of kidney exchange policy. Analysis yielded several bottleneck factors that affect the efficiency in the process of matching access of the kidney transplantation: ABO Blood Type, Age, Waiting time, kidney quality, etc. Taking into consideration of these factors, we developed a mathematical model of game theory and statistical method to measure the overall effectiveness of the match. This model is slightly improved by adjusting fairness policies.","PeriodicalId":228533,"journal":{"name":"2008 International Symposium on Computer Science and Computational Technology","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Optimal Equitable Matching Algorithm and Modeling\",\"authors\":\"Chendan, Yuxueyong\",\"doi\":\"10.1109/ISCSCT.2008.333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article studied on the optimal model of kidney exchange policy. Analysis yielded several bottleneck factors that affect the efficiency in the process of matching access of the kidney transplantation: ABO Blood Type, Age, Waiting time, kidney quality, etc. Taking into consideration of these factors, we developed a mathematical model of game theory and statistical method to measure the overall effectiveness of the match. This model is slightly improved by adjusting fairness policies.\",\"PeriodicalId\":228533,\"journal\":{\"name\":\"2008 International Symposium on Computer Science and Computational Technology\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Symposium on Computer Science and Computational Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCSCT.2008.333\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Computer Science and Computational Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCSCT.2008.333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Optimal Equitable Matching Algorithm and Modeling
This article studied on the optimal model of kidney exchange policy. Analysis yielded several bottleneck factors that affect the efficiency in the process of matching access of the kidney transplantation: ABO Blood Type, Age, Waiting time, kidney quality, etc. Taking into consideration of these factors, we developed a mathematical model of game theory and statistical method to measure the overall effectiveness of the match. This model is slightly improved by adjusting fairness policies.
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