A study predicting the next prescribed diabetes drugs for 161,497 patients with diabetes using sequential pattern mining demonstrated an accuracy of 89.1%‐90.5% in guessing from 37 drug classes (eg, DPP-4 inhibitor) and 63.5%‐64.9% accuracy in guessing from 43 drugs (eg, algliptin) [25]. Here, DPP4 is linked to diabetes mellitus.