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. 2021 Jul 14;12:713592. doi: 10.3389/fendo.2021.713592

Figure 2.

Figure 2

Patient distributions and characteristics in each cohort with respect to the four clusters generated from machine learning. (A) Clusters generated independently from each individual cohort by using k-means. (B) Clusters generated by assigning patients in each verification cohort to the main model generated from Cohort-1. Data in the pie plots were shown as N (patient number) and its percentage over the full cohort. HMO-I, hypermetabolic obesity hyperinsulinemia subtype; HMO-U, hypermetabolic obesity hyperuricemia subtype; LMO, hypometabolic obesity; MHO, metabolic healthy obesity.