Causal inference and counterfactual prediction in machine learning for actionable healthcare.
Mattia C. F. ProsperiYi GuoMatthew SperrinJames S. KoopmanJae S. MinXing HeShannan N. RichMo WangIain E. BuchanJiang BianPublished in: Nat. Mach. Intell. (2020)
Keyphrases
- causal inference
- machine learning
- additive noise
- prediction accuracy
- nonmonotonic reasoning
- causal models
- abductive reasoning
- feature selection
- discrete data
- natural language processing
- information extraction
- knowledge discovery
- logic programming
- text classification
- monte carlo
- inference rules
- knowledge representation
- active learning
- training set