Evolutionary algorithms and decision trees for predicting poor outcome after endovascular treatment for acute ischemic stroke.
N. KappelhofL. A. RamosM. KappelhofHendrikus J. A. van OsV. ChalosK. R. van KranendonkN. D. KruytYvo B. W. E. M. RoosWim H. van ZwamIrene C. van der SchaafMarianne A. A. van WalderveenMarieke J. H. WermerRobert J. van OostenbruggeHester F. LingsmaDiederik W. J. DippelCharles B. L. M. MajoieHenk A. MarqueringPublished in: Comput. Biol. Medicine (2021)
Keyphrases
- ischemic stroke
- evolutionary algorithm
- decision trees
- multi objective
- health care
- optimization problems
- evolutionary computation
- multi objective optimization
- differential evolution
- fitness function
- simulated annealing
- differential evolution algorithm
- decision tree induction
- random forest
- rule induction
- genetic programming
- naive bayes
- guide wire
- machine learning
- machine learning algorithms
- predictive accuracy
- evolution strategy
- visual inspection
- training data
- knowledge base
- genetic algorithm
- decision tree learning
- decision support system
- objective function
- data mining
- abdominal aortic aneurysm