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Web Application Development for Diabetes Patients

文献类型： 会议论文

第一作者： Miklos Nagy

作者： Miklos Nagy 1 ; Barbara Simon 2 ; László Szász 2 ; Máté Siket 1 ; Lehel Dénes-Fazakas 3 ; Gy?rgy Eigner 2 ; Patrik Péter Süli 2 ; Levente Kovács 2 ; László Szilágyi 2 ;

作者机构： 1.University Research and Innovation Center, Physiological Controls Research Center, óbuda University, Budapest, Hungary

2.University Research and Innovation Center, Physiological Controls Research Center, óbuda University, Budapest, Hungary|John von Neumann Faculty of Informatics, Biomatics and Applied Artificial Intelligence Institute, óbuda University, Budapest, Hungary

3.University Research and Innovation Center, Physiological Controls Research Center, óbuda University, Budapest, Hungary|John von Neumann Faculty of Informatics, Biomatics and Applied Artificial Intelligence Institute, óbuda University, Budapest, Hungary|Applied Informatics and Applied Mathematics Doctoral School, Obuda University, Budapest, Hungary

关键词： Sensor phenomena and characterization;Diabetes;Glucose;Internet;Security;Smart devices;Monitoring

会议名称： IEEE International Symposium on Applied Computational Intelligence and Informatics

主办单位：

页码： 573-580

摘要： The summary provides an overview of the proliferation of diabetes management apps, highlighting their increasing availability and varied features. These apps allow users to log events related to insulin and carbohydrate intake, with some offering additional functionalities like tracking activity levels and stress. Logging capabilities range from basic timestamps to more complex entries with multiple attached data types. Integration of artificial intelligence enhances these apps, enabling predictive models for blood glucose levels and decision support. The summary introduces a web application for monitoring and managing diabetes patients, emphasizing its predictive blood glucose feature based on patient parameters. It includes detailed explanations of module usage and discusses potential future developments, stressing the importance of secure medical data management.

分类号： tp3

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