Artificial Intelligence (AI) approach to identifying factors that determine systolic blood pressure in type 2 diabetes (study from the LOOK AHEAD cohort).

Abstract Background and aims Artificial Intelligence (AI) methods have recently become critical for research in diabetes in the era of big-data science. Methods In this study, we used the data from the LOOK AHEAD and applied Random Forest to examine the factors determining SBP in persons with diabetes using the software R (version 4.0.3). Results Our analysis (that included 4723 participants) showed that maximal exercise capacity, age, albumin to creatinine ratio, and serum creatinine were the key variables that determined systolic blood pressure. Conclusions Maximum exercise capacity is an important predictor of systolic blood pressure in patients with type 2 diabetes.