Predicting long-term Type 2 Diabetes with Support Vector Machine using Oral Glucose Tolerance Test
H. T. Abbas, L. Alic, M. Erraguntla, M. Abdul-Ghani, Q. Abbasi, M. Qaraqe
This paper develops an SVM-based model using OGTT data to predict T2DM with 96.80% accuracy and 80.09% sensitivity.
bioRxiv · Jul 1, 2019Scientific Communication & Education