Noninvasive Acute Compartment Syndrome Diagnosis Using Random Forest Machine Learning.
Zaina Abu HweijFlorence LiangSophie ZhangPublished in: CoRR (2024)
Keyphrases
- random forest
- machine learning
- decision trees
- random forests
- ensemble methods
- traditional chinese medicine
- fold cross validation
- machine learning methods
- feature set
- multi label
- data mining
- obstructive sleep apnea
- rotation forest
- feature importance
- cancer classification
- text classification
- learning algorithm
- computer vision
- text mining
- acute myeloid
- decision tree learning algorithms
- knowledge discovery
- ensemble learning
- reinforcement learning
- training set
- genetic algorithm
- image processing
- data analysis
- ensemble classifier
- base classifiers
- information extraction
- image features
- multi class
- support vector machine svm
- supervised learning