{"title":"Towards Accurate Medical Data in Mobile Health Applications","authors":"Lamia Ben Amor, Imene Lahyani","doi":"10.1109/WETICE.2016.24","DOIUrl":null,"url":null,"abstract":"In this paper, we propose to employ a statistical prediction model to assess medical data accuracy. To this end, the purpose of this paper is to perform medical data prediction using the Auto Regressive (AR) model. The experimental results which prove the efficiency of the proposed approach are reported based on three performance criteria namely Root Mean Square Error, Mean Absolute Error and the Theil Inequality Coefficient.","PeriodicalId":319817,"journal":{"name":"2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WETICE.2016.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we propose to employ a statistical prediction model to assess medical data accuracy. To this end, the purpose of this paper is to perform medical data prediction using the Auto Regressive (AR) model. The experimental results which prove the efficiency of the proposed approach are reported based on three performance criteria namely Root Mean Square Error, Mean Absolute Error and the Theil Inequality Coefficient.