Silva IS et al. [22] defined the most relevant clinical and laboratory variables related to PCOS diagnosis (lipid accumulation product, abdominal circumference, age, body mass index, follicle-stimulating hormone, insulin levels, triglycerides, etc.), stratifying patients into different phenotypic clusters using ML algorithms such as RF, SVM, KNN, and the BorutaShap methods. Here, INS is linked to polycystic ovary syndrome.