ELMV: an Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values.
Lucas Jing LiuHongwei ZhangJianzhong DiJin ChenPublished in: BCB (2020)
Keyphrases
- missing values
- ensemble learning
- missing data
- generalization ability
- health records
- ensemble methods
- random forest
- high dimensional data
- decision trees
- database
- concept drift
- pattern recognition
- knowledge base
- base classifiers
- feature selection
- machine learning
- medical data
- medical records
- electronic health records
- data sets