{"title":"Analysis of Diabetic Mellitus Using Predictive Algorithm – A Literature Review","authors":"A. U. Nandhini, K. Dharmarajan","doi":"10.4108/EAI.16-5-2020.2304019","DOIUrl":null,"url":null,"abstract":". An enormous development of Technology growth of healthcare contains plenty number of data. To access a massive data, we are using Big Data Analytics. Diabetes is a leading disease and causes a death & economic development. In healthcare industries doctor prescribed medicine to the patient based on patient medical history and measurement of sugar level. Predictive algorithm helps to analysis, detect and predict disease at early period. It helps doctor to diagnosis disease and gives treatment to the patient respectively. The moto of the paper to research the diabetes prediction with help of Predictive analysis algorithm to predict the diabetes disease accurately. causes due to family heredity and environment factors. The family history shows a higher risk of diabetes in close family members. The classification is used to predict the diabetes results in accurate manner. The moto of analysis tasks were to understand the concepts of Predictive algorithm which is used to anticipate diabetics.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/EAI.16-5-2020.2304019","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
. An enormous development of Technology growth of healthcare contains plenty number of data. To access a massive data, we are using Big Data Analytics. Diabetes is a leading disease and causes a death & economic development. In healthcare industries doctor prescribed medicine to the patient based on patient medical history and measurement of sugar level. Predictive algorithm helps to analysis, detect and predict disease at early period. It helps doctor to diagnosis disease and gives treatment to the patient respectively. The moto of the paper to research the diabetes prediction with help of Predictive analysis algorithm to predict the diabetes disease accurately. causes due to family heredity and environment factors. The family history shows a higher risk of diabetes in close family members. The classification is used to predict the diabetes results in accurate manner. The moto of analysis tasks were to understand the concepts of Predictive algorithm which is used to anticipate diabetics.