Machine Learning-based Predictive Modeling Of Dn

This article discusses the development and validation of a machine learning-based predictive model for identifying individuals at risk of developing diabetic nephropathy (DN). The model utilizes integrated biomarkers and was found to be robust and consistent in predicting the development of DN. The study highlights the potential of machine learning in early intervention and improving patient outcomes for this major complication of diabetes.