Novel Risk Assessment Tool for Immunoglobulin Resistance in Kawasaki Disease Application Using A Random Forest Classifier
The Pediatric infectious disease journal/The pediatric infectious disease journal（2017）
Key words
Kawasaki disease,intravenous immunoglobulin,random forest,machine learning,clinical prediction model
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