{"title":"新型冠状病毒感染检测的自适应群体测试模型","authors":"Zizhan Tang","doi":"10.1109/ISC251055.2020.9239057","DOIUrl":null,"url":null,"abstract":"Two adaptive group testing models are studied based on zero-error criterion in this paper. Firstly, for the single-stage group testing model, the analytical expression of optimal number of grouping members without integer constraints is given. Secondly, the optimal number of grouping members with integer constraints are given by numerical calculation. Finally, a grouping coefficient-based multistage model and the principles for selecting optimal grouping coefficient are proposed. The results of this paper can help medical institutions to improve group testing efficiency of infection detection of COVID-19.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Adaptive Group Testing Models for Infection Detection of COVID-19\",\"authors\":\"Zizhan Tang\",\"doi\":\"10.1109/ISC251055.2020.9239057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two adaptive group testing models are studied based on zero-error criterion in this paper. Firstly, for the single-stage group testing model, the analytical expression of optimal number of grouping members without integer constraints is given. Secondly, the optimal number of grouping members with integer constraints are given by numerical calculation. Finally, a grouping coefficient-based multistage model and the principles for selecting optimal grouping coefficient are proposed. The results of this paper can help medical institutions to improve group testing efficiency of infection detection of COVID-19.\",\"PeriodicalId\":201808,\"journal\":{\"name\":\"2020 IEEE International Smart Cities Conference (ISC2)\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Smart Cities Conference (ISC2)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISC251055.2020.9239057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Smart Cities Conference (ISC2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISC251055.2020.9239057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive Group Testing Models for Infection Detection of COVID-19
Two adaptive group testing models are studied based on zero-error criterion in this paper. Firstly, for the single-stage group testing model, the analytical expression of optimal number of grouping members without integer constraints is given. Secondly, the optimal number of grouping members with integer constraints are given by numerical calculation. Finally, a grouping coefficient-based multistage model and the principles for selecting optimal grouping coefficient are proposed. The results of this paper can help medical institutions to improve group testing efficiency of infection detection of COVID-19.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
