Interpretable Machine Learning Classifiers for Brain Tumour Survival Prediction.
Colleen E. CharltonMichael Tin Chung PoonPaul M. BrennanJacques D. FleuriotPublished in: CoRR (2021)
Keyphrases
- machine learning
- survival prediction
- machine learning algorithms
- machine learning methods
- machine learning approaches
- decision trees
- feature selection
- supervised classification
- statistical parametric mapping
- lung cancer
- gene expression
- training data
- naive bayes
- pattern recognition
- data mining
- learning algorithm
- learning classifier systems
- multiple classifier systems
- training set
- active learning
- feature set
- support vector
- classification algorithm
- gene selection
- text classification
- medical images
- classification rules
- face recognition
- decision support system
- support vector machine
- feature vectors