Prediction of Nephropathy in Type 2 Diabetes: An Analysis of the ACCORD Trial Applying Machine Learning Techniques

• Main Authors: Violeta Rodriguez‐Romero (Author), Richard F. Bergstrom (Author), Brian S. Decker (Author), Gezim Lahu (Author), Majid Vakilynejad (Author), Robert R. Bies (Author)
• Format: Book
• Published: Wiley, 2019-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Applying data mining and machine learning (ML) techniques to clinical data might identify predictive biomarkers for diabetic nephropathy (DN), a common complication of type 2 diabetes mellitus (T2DM). A retrospective analysis of the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial wa...