广东省人民医院糖尿病视网膜病变诊断及预后预测数据集

该数据基于糖尿病视网膜病变的临床数据，包括基本信息、体格检查、生理生化检查指标、眼部专科检查和眼部影像学资料，经过脱敏处理后，通过人工智能训练和建模，用于临床糖尿病视网膜病变的早期诊断和预后预测。有助于糖尿病视网膜病变的临床诊疗，提升诊疗效率，节约医疗成本。

This dataset is compiled from de-identified clinical data associated with diabetic retinopathy (DR). The included data spans multiple domains: basic patient information, physical examination results, physiological and biochemical test indicators, specialized ophthalmic examination data, and ocular imaging materials. Leveraging artificial intelligence for training and modeling, this dataset is designed for the early clinical diagnosis and prognosis prediction of diabetic retinopathy. It can support clinical diagnosis and treatment of DR, enhance the efficiency of medical services, and lower healthcare costs.