Hyer Sl, J. Chang, Chuah Ll, R. Manzoor, N. Philip
{"title":"大数据在2型糖尿病中的应用潜力","authors":"Hyer Sl, J. Chang, Chuah Ll, R. Manzoor, N. Philip","doi":"10.17352/2455-5479.000051","DOIUrl":null,"url":null,"abstract":"Type 2 diabetes is a chronic condition associated with long term complications and premature \ndeath. It is a leading cause of non-traumatic amputations, renal failure and blindness. With advances \nin information technology, diabetes patient data are increasingly collated digitally, however, there is no \nunifi ed minimal dataset agreed nationally or internationally for data collection.","PeriodicalId":87221,"journal":{"name":"Archives of community medicine and public health","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The potential for Big Data in Type 2 diabetes\",\"authors\":\"Hyer Sl, J. Chang, Chuah Ll, R. Manzoor, N. Philip\",\"doi\":\"10.17352/2455-5479.000051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Type 2 diabetes is a chronic condition associated with long term complications and premature \\ndeath. It is a leading cause of non-traumatic amputations, renal failure and blindness. With advances \\nin information technology, diabetes patient data are increasingly collated digitally, however, there is no \\nunifi ed minimal dataset agreed nationally or internationally for data collection.\",\"PeriodicalId\":87221,\"journal\":{\"name\":\"Archives of community medicine and public health\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of community medicine and public health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17352/2455-5479.000051\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of community medicine and public health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17352/2455-5479.000051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Type 2 diabetes is a chronic condition associated with long term complications and premature
death. It is a leading cause of non-traumatic amputations, renal failure and blindness. With advances
in information technology, diabetes patient data are increasingly collated digitally, however, there is no
unifi ed minimal dataset agreed nationally or internationally for data collection.