The key findings of our investigation are as follows: (i) we determine 8 (out of 80) most discriminative patient parameters (age, BMI, type of DM, ALT, AST, hyperuricemia, platelet count, and metformin treatment) which enabled to identify patients who are most likely to present with MASLD using a MLR model; and (ii) on the basis of 8 parameters, we clustered individuals with similar phenotypes in order to stratify risk of MASLD presence. Here, GPT is linked to hyperuricemia.