Research and applications: Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach.
Ryan J. UrbanowiczAngeline S. AndrewMargaret R. KaragasJason H. MoorePublished in: J. Am. Medical Informatics Assoc. (2013)
Keyphrases
- learning classifier systems
- bladder cancer
- genetic algorithm
- relational reinforcement learning
- complex diseases
- rule discovery
- gene gene interactions
- real valued
- reinforcement learning
- evolutionary computation
- breast cancer
- artificial intelligence
- machine learning
- decision trees
- evolutionary algorithm
- probabilistic model
- fuzzy sets