{"title":"糖尿病数据分析云系统","authors":"L. Nita","doi":"10.1109/SIELMEN.2017.8123364","DOIUrl":null,"url":null,"abstract":"The paper presents a web application which helps the diabetes patients and clinicians to analyze the patient evolution and improve the diabetes treatment. The system reads the blood glucose values from cloud where are uploaded by the patient mobile application. In this way both patient and clinician can share the patient data and it is no longer necessary the patient to visit the hospital.","PeriodicalId":403279,"journal":{"name":"2017 International Conference on Electromechanical and Power Systems (SIELMEN)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cloud system for diabetic data analysis\",\"authors\":\"L. Nita\",\"doi\":\"10.1109/SIELMEN.2017.8123364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a web application which helps the diabetes patients and clinicians to analyze the patient evolution and improve the diabetes treatment. The system reads the blood glucose values from cloud where are uploaded by the patient mobile application. In this way both patient and clinician can share the patient data and it is no longer necessary the patient to visit the hospital.\",\"PeriodicalId\":403279,\"journal\":{\"name\":\"2017 International Conference on Electromechanical and Power Systems (SIELMEN)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Electromechanical and Power Systems (SIELMEN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIELMEN.2017.8123364\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Electromechanical and Power Systems (SIELMEN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIELMEN.2017.8123364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper presents a web application which helps the diabetes patients and clinicians to analyze the patient evolution and improve the diabetes treatment. The system reads the blood glucose values from cloud where are uploaded by the patient mobile application. In this way both patient and clinician can share the patient data and it is no longer necessary the patient to visit the hospital.
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