Development and validation of medical record-based logistic regression and machine learning models to diagnose diabetic retinopathy.

He-Yan LiLi DongWen-Da ZhouHao-Tian WuRui-Heng ZhangYi-Tong LiChu-Yao YuWen Bin Wei

Published in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2022)

This study highlights the utility of comparing traditional logistic regression to machine learning models. We found that logistic regression performed as well as optimized machine learning methods when classifying DR patients.

Keyphrases

machine learning
diabetic retinopathy
end stage renal disease
artificial intelligence
big data
ejection fraction
newly diagnosed
chronic kidney disease
healthcare
deep learning
patient reported