{"title":"基于进化计算和FCM算法的智能2型糖尿病患者管理系统","authors":"Eungyeong Kim, M. Lee, Hyogun Yoon, T. Gatton","doi":"10.1109/ISITC.2007.25","DOIUrl":null,"url":null,"abstract":"The present study proposes a management system combining fuzzy c-means (FCM) and evolutionary computation in order to provide an optimal treatment method based on the patient's context information in ubiquitous environment. Because FCM has the shortcoming of falling easily into a local solution, we adjusted the initial values sensitively through evolutionary computation. In fitness evaluation, we used Bayesian validation so that superior solutions are selected, and in performance evaluation, experiment and evaluation were made with type 2 diabetic patients.","PeriodicalId":394071,"journal":{"name":"2007 International Symposium on Information Technology Convergence (ISITC 2007)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An Intelligent Type 2 Diabetic Patient Management System Using Evolutionary Computation and FCM Algorithm\",\"authors\":\"Eungyeong Kim, M. Lee, Hyogun Yoon, T. Gatton\",\"doi\":\"10.1109/ISITC.2007.25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present study proposes a management system combining fuzzy c-means (FCM) and evolutionary computation in order to provide an optimal treatment method based on the patient's context information in ubiquitous environment. Because FCM has the shortcoming of falling easily into a local solution, we adjusted the initial values sensitively through evolutionary computation. In fitness evaluation, we used Bayesian validation so that superior solutions are selected, and in performance evaluation, experiment and evaluation were made with type 2 diabetic patients.\",\"PeriodicalId\":394071,\"journal\":{\"name\":\"2007 International Symposium on Information Technology Convergence (ISITC 2007)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Symposium on Information Technology Convergence (ISITC 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISITC.2007.25\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Symposium on Information Technology Convergence (ISITC 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISITC.2007.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Intelligent Type 2 Diabetic Patient Management System Using Evolutionary Computation and FCM Algorithm
The present study proposes a management system combining fuzzy c-means (FCM) and evolutionary computation in order to provide an optimal treatment method based on the patient's context information in ubiquitous environment. Because FCM has the shortcoming of falling easily into a local solution, we adjusted the initial values sensitively through evolutionary computation. In fitness evaluation, we used Bayesian validation so that superior solutions are selected, and in performance evaluation, experiment and evaluation were made with type 2 diabetic patients.