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Predicting the risk of acute kidney injury in elderly patients after orthopedic surgery based on machine learning algorithm models

Eteläuomen läiUnited statesEthics committeeAmerican society of anesthesiologistsElectronic medical recordAffiliated hospitalXuzhou medicalXuzhou medical universityPhysical statusKidney diseaseImproving global outcomesWhitneyu testStatistical dataLearning algorithmsComparison statistical predictionRandom forest regressor