Published August 26, 2022 | Version 1
Journal article Open

Predicting IVIG resistance in Kawasaki disease with machine learning models augmented with synthetic sampling

Authors/Creators

  • 1. University of Nebraska Medical Center
  • 2. SUNY at Buffalo

Description

Dataset from Buffalo children with KD (2000-2020) and extracted elements from the Pediatric heart network RCT study on steroids in KD (2007). 

Jupyter notebook of code used to train and test models on aforementioned dataset. 

Files

KDML09142021-2IVIGcats-AbsoluteCounts-PHNMerge.csv

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