Hybrid Stacking Model for Early AKI Prediction in Children with Idiopathic Nephrotic Syndrome

systolic pressure: mmHg

urine PH:

nephrotoxic antibiotics: 1:yes/0:no

No. of admissions: times

length of hospital stay: days

LDL: mmol/L

diastolic blood pressure: mmHg

PLT: ×10^9/L

eosinophilia: ×10^9/L

cyclophosphamide: 1:yes/0:no

respiratory tract infection: 1:yes/0:no

furosemide: 1:yes/0:no

tacrolimus: 1:yes/0:no

triglyceride: mmol/L

albumin: g/L

Prediction Result:

Based on input feature values：
• The predicted probability of Acute Kidney Injury is 0.00；
• The predicted result of Acute Kidney Injury is：0

Important Note:

To ensure the accuracy of the prediction tool, it is recommended that the variables involved need to meet the following collection time point requirements：

Gathering information within the first 48 h after admission
Positive medical exposure=1, negative medical exposure=0