Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics.
Milena PavlovicGhadi S. Al HajjChakravarthi KanduriJohan PensarMollie WoodLudvig Magne SollidVictor GreiffGeir Kjetil SandvePublished in: Nat. Mac. Intell. (2024)
Keyphrases
- machine learning
- data mining
- pattern recognition
- decision trees
- causal reasoning
- inductive learning
- machine learning methods
- information extraction
- artificial immune
- qualitative models
- inductive logic programming
- training examples
- model selection
- text mining
- active learning
- data analysis
- reinforcement learning
- learning algorithm
- natural language processing
- knowledge representation
- breast cancer
- expert systems
- learning models
- causal models
- computational biology
- causal relationships
- learning machines
- condition monitoring