An ensemble method for extracting adverse drug events from social media.
Jing LiuSongzheng ZhaoXiaodi ZhangPublished in: Artif. Intell. Medicine (2016)
Keyphrases
- ensemble methods
- social media
- adverse drug reactions
- real world events
- social media data
- prediction accuracy
- decision trees
- signal detection
- random forests
- benchmark datasets
- ensemble learning
- machine learning methods
- generalization ability
- base classifiers
- rotation forest
- random forest
- base learners
- drifting concepts
- classifier ensemble
- social networks
- multilabel classification
- genetic algorithm
- ensemble classifier
- subspace methods