Prediction of Functional Recovery Post-Cardiac Arrest Using an Ensemble of Extreme Gradient-Boosted Trees.
Matthew KolisnykXiaoyu WangChao GuoShigeng XieKarnig KazazianLoretta NortonTeneille GoftonSaptharishi Lalgudi GanesanAdrian M. OwenDerek DebickiPublished in: CinC (2023)
Keyphrases
- random forests
- prediction accuracy
- tree ensembles
- neural network ensemble
- ensemble methods
- decision trees
- ensemble classifier
- prediction error
- image analysis
- neural network
- patient specific
- prediction algorithm
- prediction model
- tree structures
- tree structure
- multiscale
- extreme values
- recovery algorithm
- training data
- randomized trees
- machine learning