CONCLUSION
prediabetes or diabetes
In this study, we used ML algorithms based on the NHANES database to build five prediction model for the risk of HF in patients with prediabetes or diabetes. The RF algorithm demonstrated the best prediction performance out of the five ML algorithms. The developed RF model is capable of recognizing high‐risk patients in clinical practice and serve as a practical prediction tool for physicians.