A homogeneous ensemble method for predicting gastric cancer based on gastroscopy reports.
Shuai DingShikang HuJinxin PanXiaojian LiGang LiXiao LiuPublished in: Expert Syst. J. Knowl. Eng. (2020)
Keyphrases
- ensemble methods
- gastric cancer
- prediction accuracy
- benchmark datasets
- decision trees
- machine learning methods
- early detection
- random forests
- ensemble learning
- base classifiers
- random forest
- generalization ability
- rotation forest
- application of data mining
- drifting concepts
- multilabel classification
- base learners
- ensemble members
- classifier ensemble
- ensemble classifier
- training data
- machine learning
- cluster ensemble
- breast cancer
- active learning
- feature selection