• Imputation Of Missing Values In Clinical Data 

      Birklbauer, Micha Johannes (Jihočeská univerzita, 2019)
      Imputation of missing data is a crucial step in data analysis since many statistical methods require complete datasets. In that regard MissForest imputation is a powerful tool that seems to outperform most other imputation ...
    • Software using random forest for risk prediction of heart valve surgery patients 

      Hermanutz, Georg (Jihočeská univerzita, 2017)
      CASPeR - Cardiac surgery prediction tool for risk stratification of heart valve surgeries is presented. The base builds a machine learning pipeline for training a random forest classifier which predicts the mortality after ...