Predicting The Likelihood of Patients Developing Sepsis Based on Compound Ensemble Learning.
Liang ZhaoRui LinZhuo LiuHong YuanPublished in: BIBM (2022)
Keyphrases
- ensemble learning
- initial stage
- generalization ability
- ensemble methods
- random forest
- maximum likelihood
- ensemble classifier
- base classifiers
- mutual subspace method
- concept drift
- feature selection
- weak learners
- unlabeled data
- data sets
- support vector machine svm
- text categorization
- particle swarm optimization
- artificial neural networks
- feature extraction
- machine learning
- data mining