Accurate identification of Parkinson's disease by distinctive features and ensemble decision trees.
Huan ZhaoJunyi CaoRuixue WangYaguo LeiWei-Hsin LiaoHongmei CaoPublished in: Biomed. Signal Process. Control. (2021)
Keyphrases
- distinctive features
- decision trees
- ensemble methods
- random forest
- random forests
- concept drifting data streams
- machine learning
- base classifiers
- training set
- learning algorithm
- disease diagnosis
- decision tree induction
- ensemble learning
- training data
- high quality
- computationally efficient
- feature selection
- logistic regression
- naive bayes
- decision rules
- machine learning algorithms
- benchmark datasets
- highly accurate
- predictive accuracy
- high accuracy
- multi class
- classifier ensemble
- probability estimates
- data mining methods
- decision tree learning
- decision tree classifiers
- classification rules