Further validation was performed on two independent test sets, D2 and D3. Both models' Area Under the Curve (AUC) values exceeded 0.95 on D2 and neared 0.90 on D3.

A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams. ... et al: Population-level prediction of type 2 ...

The machine learning algorithm is being applied to screen for both diabetic retinopathy and diabetic macular edema, which can cause blindness but are preventable if caught early enough, they said.