Clinically Distinct Subtypes of Acute Kidney Injury on Hospital Admission Identified by Machine Learning Consensus Clustering.

Charat Thongprayoon, Pradeep Vaitla,Voravech Nissaisorakarn, Michael A Mao, Jose L Zabala Genovez,Andrea G Kattah, Pattharawin Pattharanitima,Saraschandra Vallabhajosyula, Mira T Keddis,Fawad Qureshi,John J Dillon,Vesna D Garovic, Kianoush B Kashani,Wisit Cheungpasitporn

Medical sciences (Basel, Switzerland)（2021）

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摘要

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.

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关键词

AKI,acute kidney injury,artificial intelligence,clustering,hospitalization,machine learning,mortality,nephrology

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