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Educational Tool for Diabetic Patients Based on Causal Probabilistic Networks

机译:基于因果概率网络的糖尿病患者教育工具

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EduDIABNET is an educational tool based on a physiological model that allows simulation and interpretation of the effect of therapeutic actions on the 24-hour blood glucose profile. The system aims to help patients to better their understanding of diabetes self-management and to provide health care professionals with an additional tool to complement the patient education. The physiological model is qualitative and is represented by a quantitative Causal Probabilistic Network. The system enables users to set model variables choosing from a group of qualitative options and presents qualitative results. The user interface has been developed using real-world graphical metaphors to hide the complexity of the physiological model and to increase system usability.
机译:EduDIABNET是基于生理模型的教育工具,可以模拟和解释治疗作用对24小时血糖曲线的影响。该系统旨在帮助患者加深对糖尿病自我管理的理解,并为医疗保健专业人员提供补充工具,以补充患者的教育。生理模型是定性的,并由定量因果概率网络表示。该系统使用户可以设置从一组定性选项中选择的模型变量,并显示定性结果。用户界面已使用真实世界的图形隐喻进行了开发,以隐藏生理模型的复杂性并增加系统可用性。

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