Feature engineering and machine learning for causality assessment in pharmacovigilance: Lessons learned from application to the FDA Adverse Event Reporting System.
Kory KreimeyerOanh DangJonathan SpikerMonica A. MuñozGary RosnerRobert BallTaxiarchis BotsisPublished in: Comput. Biol. Medicine (2021)
Keyphrases
- lessons learned
- feature engineering
- machine learning
- dependency parsing
- future directions
- case study
- text classification
- natural language processing
- data analysis
- computer vision
- design science
- case based reasoning
- signal processing
- prior knowledge
- expectation maximization
- digital libraries
- computer science
- natural language
- pattern recognition
- decision trees