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SSEL-ADE: A semi-supervised ensemble learning framework for extracting adverse drug events from social media.
Jing Liu
Songzheng Zhao
Gang Wang
Published in:
Artif. Intell. Medicine (2018)
Keyphrases
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ensemble learning
semi supervised
social media
ensemble methods
unlabeled data
ensemble classifier
mutual subspace method
pattern recognition
generalization ability
random forest
semi supervised learning
base classifiers
data sets
graph cuts
active learning
reinforcement learning
similarity measure