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Applications of AI in Predicting Drug Responses for Type 2 Diabetes

Applications of AI in Predicting Drug Responses for Type 2 Diabetes

discriminant analysis. i LDA: linear discriminant analysis. j RF: random forest. k GBM: gradient boosted machine. l AUC: area under the curve. m GLM: generalized linear model. n MARS: multivariate adaptive regression spline. o SVM: support vector machine. p CART: classification and regression tree. q BART: Bayesian additive regression tree. r AGI: alpha-glucosidase inhibitor. s BP-ANN: back propagation artificial neural network. t LR: linear regression. u ISSI-2: insulin secretion-sensitivity index-2. v NN: neural network. wk-NN: k-nearest

Shilpa Garg, Robert Kitchen, Ramneek Gupta, Ewan Pearson

JMIR Diabetes 2025;10:e66831