Data-Driven Carbohydrate Counting Accuracy Monitoring: A Personalized Approach

Dbora Amorim,Francisco Miranda, Lus Ferreira,Carlos Abreu

Procedia Computer Science(2022)

引用 0|浏览0
暂无评分
摘要
Accurate carbohydrate counting is crucial for type 1 diabetes mellitus patients on intensive insulin therapy to get on-target blood glucose values. So, it is fundamental to assess their ability to estimate meals’ carbohydrate content and, if needed, recommend carbohydrate counting training. In this context, we propose a personalized data-driven approach to monitor the patients’ ability to estimate the carbohydrate content of meals.
更多
查看译文
关键词
Healthcare,Personalized Medicine,Carbohydrate Counting Education,Accurate Carbohydrate Counting
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要