Anthropometric Features Based Gait Pattern Prediction Using Random Forest for Patient-Specific Gait Training.
Shixin RenWeiqun WangZeng-Guang HouXu LiangJiaxing WangLiang PengPublished in: ICONIP (4) (2018)
Keyphrases
- random forest
- patient specific
- feature set
- feature importance
- random forests
- blood flow
- feature extraction
- decision trees
- feature vectors
- ensemble classifier
- feature space
- training set
- classification accuracy
- ensemble methods
- therapy planning
- prediction accuracy
- computational fluid dynamics
- training examples
- feature selection
- training samples
- supervised learning
- benchmark datasets
- classification models
- multi label
- class labels
- pose estimation
- test set
- training data
- image processing