Predict phenotypic clusters for diabetes patients
Phenogroup 1: Higher risk with greater comorbidities
Phenogroup 2: Moderate risk of complications
Phenogroup 3: Lower risk of diabetes complications
Type 2 diabetes is a heterogeneous condition with varying risk of complications. Phenomapping uses machine learning to identify distinct subgroups of patients based on clinical variables and biomarkers.
This calculator predicts the probability of belonging to each of the three identified phenogroups, which may help guide personalized management strategies.
The above calculator provides an approximation of the phenomapping clusters defined by Segar et al.