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 developed based on clinical data of diabetic retinopathy, covering basic demographic information, physical examination findings, physiological and biochemical examination indicators, ophthalmic specialist examination results, and ocular imaging data. After undergoing de-identification processing, it is utilized for artificial intelligence-based training and modeling, aiming at early clinical diagnosis and prognosis prediction of diabetic retinopathy. This dataset can support the clinical diagnosis and treatment of diabetic retinopathy, enhance the efficiency of medical diagnosis and treatment, and reduce healthcare costs.