{"title":"Intelligence Based Diabetes Management System","authors":"Anchana P Belmon, J. Auxillia","doi":"10.35248/2155-6156.21.12.897","DOIUrl":null,"url":null,"abstract":"The use of continuous glucose sensors are currently trending in type 1 diabetes patients which provides enormous forthcoming adverse effects like hyperglycemia and hypoglycemia. The development of diabetes management system automatically collect sensor information and make correct recommendations to patients. The incorporation of Artificial Intelligence sensors supports glucose prediction in diabetes patients with fine tuning of bolus calculation and parameters.","PeriodicalId":15597,"journal":{"name":"Journal of diabetes & metabolism","volume":"28 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of diabetes & metabolism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35248/2155-6156.21.12.897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The use of continuous glucose sensors are currently trending in type 1 diabetes patients which provides enormous forthcoming adverse effects like hyperglycemia and hypoglycemia. The development of diabetes management system automatically collect sensor information and make correct recommendations to patients. The incorporation of Artificial Intelligence sensors supports glucose prediction in diabetes patients with fine tuning of bolus calculation and parameters.