N. Shomron

Machine Learning for Diabetes Screening: Insights from the Behavioral Risk Factor Surveillance System and Pima Indians Diabetes Databases

A simple logistic regression – with excellent recall and competitive AUC – appears preferable for population screening, where transparency, robustness to reporting noise, and ease of implementation are paramount.