基于大数据糖尿病患者膳食管理系统的设计

作为5项糖尿病治疗方法（饮食、运动、药物、自我监测与教育）中最基本的治疗方法,饮食治疗在糖尿病患者病程的各个阶段都极为重要。针对临床中糖尿病患者膳食管理方案编制繁琐、饮食治疗效果不佳的问题,结合糖尿病患者饮食管理工作步骤,设计糖尿病患者膳食管理智能决策流程;借助相似度计算模型,实现数据挖掘与智能决策,设计糖尿病患者饮食智能决策系统架构;借助计算机编程技术建立系统可视化界面;利用实例推理方法实现基于大数据的糖尿病患者膳食智能管理,减少糖尿病患者膳食管理工作量,提高糖尿病饮食治疗效率,为辅助临床快速、准确制定个性化的糖尿病患者饮食方案提供有效途径。

Design of Diabetic Diet Management System Using Big Data

Among the five treatments for diabetes（diet,exercise,medication,glycemic self-monitoring and health education）,diet treatment is the most essential,and it matters much in each phase of diabetic treatment. To simply the cumbersome process of developing dietary management programs and improve the effect of diet treatment in diabetics,we designed an intelligent decision-making process of dietary management based on the clinical dietary management procedure,and designed an intelligent decision-making framework based on intelligent decision-making cases derived from data mining using the similarity calculation model,then by use of this kind of case-based reasoning approach and computer-based data visualization technologies,we finally developed a system suggesting diet regimens displayed on the user interface screen,achieving intelligent dietary management of diabetics using big data technologies. The use of this system may bring about workload reduction and efficiency improvement of diet treatment,and may provide help for rapid development of an effective,appropriate and personalized diabetic diet plan.