Generalizability of an acute kidney injury prediction model across health systems
Cao J, Zhang X, Shahinian V, Yin H, Steffick D, Saran R, Crowley S, Mathis M, Nadkarni G, Heung M, Singh K. Generalizability of an acute kidney injury prediction model across health systems. Nature Machine Intelligence 2022, 4: 1121-1129. PMID: 38148789, PMCID: PMC10751025, DOI: 10.1038/s42256-022-00563-8.Peer-Reviewed Original ResearchAcute kidney injuryKidney injuryUS veteransAcute kidney injury modelHealth systemKidney injury modelAcademic hospital settingHospital cohortHospitalized patientsInjury prediction modelInjury modelHospital settingInjuryVeterans AffairsEffective interventionsHigher stageVeteransLower stageWorse discriminationRecent studiesMajor barrierPopulationFemalesSample sizeDecision tree model