Bridging Interpretability and Performance: Enhanced Machine Learning-Based Prediction of Hematoma Expansion Post-Stroke via Comprehensive Feature Selection.
Beigeng ZhaoRui SongXu GuoLizhi YuPublished in: IEEE Access (2024)
Keyphrases
- feature selection
- machine learning
- prediction accuracy
- text classification
- artificial intelligence
- text categorization
- model selection
- feature space
- machine learning methods
- multi class
- mutual information
- natural language processing
- models built
- prediction model
- classification accuracy
- data analysis
- predictive modeling
- computer vision
- prediction error
- feature selection algorithms
- high dimensionality
- learning tasks
- prediction algorithm
- learning systems
- irrelevant features
- feature engineering
- feature set
- data mining
- decision trees
- information extraction
- unsupervised learning
- pattern recognition
- support vector machine
- neural network
- feature generation
- feature extraction
- explanation based learning
- active learning
- random forest
- inductive learning
- text mining
- dimensionality reduction
- knowledge acquisition