Subtyping hospitalized patients with hypokalemia by machine learning consensus clustering and associated mortality risks.

Our study demonstrated the use of consensus clustering analysis in the heterogeneous cohort of hospitalized hypokalemic patients to characterize their patterns of baseline clinical and laboratory data into three clinically distinct clusters with different mortality risks.