Multivariable Logistic Regression And Back Propagation Artificial Neural Network To Predict Diabetic Retinopathy.

Litong YaoYifan ZhongJingyang WuGuisen ZhangLei ChenPeng GuanDesheng HuangLei Liu

Published in: Diabetes, metabolic syndrome and obesity : targets and therapy (2019)

Our evaluation demonstrated the potential role of BP-ANN model to identify DR in screening practice. The presence of DR was well predictable using the proposed BP-ANN model based on four related parameters (duration of diabetes, waist to hip ratio, HbA1c and family history of diabetes).

Keyphrases

neural network
diabetic retinopathy
type diabetes
cardiovascular disease
glycemic control
optical coherence tomography
healthcare
body mass index
primary care
editorial comment
metabolic syndrome
quality improvement
total hip arthroplasty
risk assessment
weight loss
physical activity
insulin resistance