[Retracted] A Deep Learning Framework for Earlier Prediction of Diabetic Retinopathy from Fundus Photographs

Table 1

Datasets on diabetic retinopathy.

Explanation	Feature	Range	Category
Subject’s diabetes duration ()	DM	0–30	Numeric
The average blood glucose levels of the patient during the previous three months ()	A1c	6.5–13.3	Numeric
Subject’s age ()	Age	16–79	Numeric
Subject’s body mass index	BMI	18–41	Numeric
High-density lipoprotein levels of the subject	HDL	20–62	Numeric
Low-density lipoprotein concentration of the individual	LDL	36–267	Numeric
The diastolic blood pressure of the individual	Dias BP	60–120	Numeric
Triglyceride levels of the individual	TG	74–756	Numeric
Fasting blood sugar levels of the individual	FBS	80–510	Numeric
The systolic blood pressure of the individual ()	Sys BP	105–180	Numeric
The condition of the individual’s retinopathy	Retinopathy (class)		Categorical