{"title":"用于2型糖尿病anfisga智能给药计划的Android App","authors":"C. P. R. Reagan, S. Devi","doi":"10.1109/ICRTIT.2014.6996137","DOIUrl":null,"url":null,"abstract":"This paper presents an intelligent expert based system ANFISGA for the dosage planning for Type2 diabetes male patients. Even the Type2 diabetes accounts 90% of total diabetes patients the accurate dosage planning for the disease is complicated due to the variations of human body. In this paper two Artificial Intelligence techniques ANFIS and GA were combined. This human genetic algorithm accept the dosage predicted from ANFIS and do the optimization using genetic operators to produce the most accurate dosage prediction.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Android App for intelligent dosage planning in Type2 diabetes using anfisga\",\"authors\":\"C. P. R. Reagan, S. Devi\",\"doi\":\"10.1109/ICRTIT.2014.6996137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an intelligent expert based system ANFISGA for the dosage planning for Type2 diabetes male patients. Even the Type2 diabetes accounts 90% of total diabetes patients the accurate dosage planning for the disease is complicated due to the variations of human body. In this paper two Artificial Intelligence techniques ANFIS and GA were combined. This human genetic algorithm accept the dosage predicted from ANFIS and do the optimization using genetic operators to produce the most accurate dosage prediction.\",\"PeriodicalId\":422275,\"journal\":{\"name\":\"2014 International Conference on Recent Trends in Information Technology\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Recent Trends in Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRTIT.2014.6996137\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Recent Trends in Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRTIT.2014.6996137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Android App for intelligent dosage planning in Type2 diabetes using anfisga
This paper presents an intelligent expert based system ANFISGA for the dosage planning for Type2 diabetes male patients. Even the Type2 diabetes accounts 90% of total diabetes patients the accurate dosage planning for the disease is complicated due to the variations of human body. In this paper two Artificial Intelligence techniques ANFIS and GA were combined. This human genetic algorithm accept the dosage predicted from ANFIS and do the optimization using genetic operators to produce the most accurate dosage prediction.
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