Minimizing Deep Incisional and Organ/Space Surgical site infections (SSIs) in California acute care hospitals using Predictive risk analysis
Python 3 and Anaconda and Jupyter notebook
conda install missingno imblearn
(Most of the libraries should already be present in anaconda distribution)
uploaded on google drive (access from link below)
https://drive.google.com/drive/folders/1f9fEMnXEKTqefRss5xLkt_oEIF1GbZUm?usp=sharing
There are a total of 4 Jupyter Notebooks. sepsis_data_handling is data cleaning notebook. sepsis_rf_sample is the random forest model on sample data. sepsis_rf is the random forest model with half of dataset size. sepsis_smote_fs is random forest model with smote class balancing and feature selection.
data_baseline.pickle contains the clean train,val,test data