%0 Journal Article
%K Humans
%K *Diabetes Mellitus, Type 2/drug therapy
%K Glycated Hemoglobin
%K Cohort Studies
%K Precision medicine
%K Dipeptidyl Peptidase 4/therapeutic use
%K Sodium-Glucose Transporter 2/therapeutic use
%K Hypoglycemic Agents/therapeutic use
%K *Dipeptidyl-Peptidase IV Inhibitors/therapeutic use
%K *Sodium-Glucose Transporter 2 Inhibitors/therapeutic use
%K Treatment Outcome
%K Causal forest
%K Counterfactual prediction
%K Generalized random forests
%K Heterogeneous treatment effects
%K machine learning
%K Treatment effect heterogeneity
%K Treatment selection
%K Type 2 diabetes
%B BMC Med Inform Decis Mak
%D 2023
%G eng
%M 37328784
%P 110
%R 10.1186/s12911-023-02207-2
%T Comparison of causal forest and regression-based approaches to evaluate treatment effect heterogeneity: an application for type 2 diabetes precision medicine
%V 23
%2 PMC10276367
%7 2023/06/17
%@ 1472-6947