Handling Sparsity with Random Forests When Predicting Adverse Drug Events from Electronic Health Records.
Isak KarlssonHenrik BoströmPublished in: ICHI (2014)
Keyphrases
- random forests
- electronic health records
- adverse drug reactions
- clinical trials
- random forest
- decision trees
- machine learning algorithms
- ensemble methods
- logistic regression
- clinical data
- health care
- health records
- medical records
- high dimensional
- medical data
- decision tree ensembles
- decision support system
- machine learning
- information overload
- learning algorithm
- multi class
- adverse drug reaction
- digital libraries
- natural language processing