Clinically Distinct Subtypes of Acute Kidney Injury on Hospital Admission Identified by Machine Learning Consensus Clustering.
Charat ThongprayoonPradeep VaitlaVoravech NissaisorakarnMichael A MaoJose L Zabala GenovezAndrea G KattahPattharawin PattharanitimaSaraschandra VallabhajosyulaMira T KeddisFawad QureshiJohn J DillonVesna D GarovicKianoush B KashaniWisit CheungpasitpornPublished in: Medical sciences (Basel, Switzerland) (2021)
Our study demonstrated using machine learning consensus clustering analysis to characterize a heterogeneous cohort of patients with acute kidney injury on hospital admission into four clinically distinct clusters with different associated mortality risks.