Sustainable computing provides a remote access to the diagnosis system for easy and fast implementation. The proposed approach measures glucose level in the blood through Dexcom G4 Plantinum sensors on diabetic patients. Based on the readings, Internet of Things (IoT) platform offer a sustainable solution to Diabetic Retinopathy. The purpose of this research is to save the life of the patient from vision loss. The process starts from the devices themselves which securely transfer information with IoT platform and pledge the common language for the mobile apps to collaborate with each other. This platform constantly gathers thousands of information from the device and store in a secure database. It incorporates the data received from IoT devices and applies analytics to predict valuable data to address clinical needs. The results exhibited by the implementation of the proposed approaches are comparable with the sophisticated systems in relations of accuracy, specificity and sensitivity. The proposed technique performs better than other techniques by achieving an average 99.58% Accuracy, 72.51% Sensitivity and 99.83% Specificity in the experimental setup.

可持续计算提供了对诊断系统的远程访问，可轻松快速地实施。拟议的方法通过糖尿病患者的Dexcom G4 Plantinum传感器测量血液中的葡萄糖水平。根据这些读数，物联网（IoT）平台为糖尿病性视网膜病变提供了可持续的解决方案。这项研究的目的是从视力丧失中挽救患者的生命。该过程从设备本身开始，该设备本身通过IoT平台安全地传输信息，并保证移动应用程序可以相互协作的通用语言。该平台不断从设备收集成千上万的信息，并将其存储在安全的数据库中。它整合了从物联网设备接收的数据，并进行分析以预测有价值的数据，以满足临床需求。通过实施所提出的方法所展示的结果在精确度，特异性和敏感性方面可与复杂系统相媲美。通过在实验设置中实现平均99.58％的准确度，72.51％的灵敏度和99.83％的特异性，所提出的技术比其他技术表现更好。