Conclusions
diabetes, heart failure, prediabetes, prediabetes or diabetes
HEART FAILURE, PREDIABETES, DIABETES
The risk of HF in middle‐aged and elderly patients with prediabetes or diabetes can be accurately predicted using ML models. The best prediction performance is presented by RF model, which can assist doctors in making clinical decisions.The performance of five machine learning models was compared using receiver operating characteristic curves, calibration curves, and decision curve analysis, and the random forest model was found to be the best model for predicting the risk of heart failure in a prediabetes or diabetes population.
