Machine learning for the prediction of antibacterial susceptibility in Mycobacterium tuberculosis.
Katherine E. NiehausTimothy M. WalkerDerrick W. CrookTim E. A. PetoDavid A. CliftonPublished in: BHI (2014)
Keyphrases
- machine learning
- prediction accuracy
- machine learning methods
- recursive neural networks
- prediction algorithm
- explanation based learning
- prediction model
- knowledge acquisition
- natural language processing
- data analysis
- computational intelligence
- prediction error
- machine learning algorithms
- data mining
- artificial intelligence
- training data
- decision trees
- neural network
- learning algorithm
- feature selection
- learning systems
- computer science
- pattern recognition
- knowledge discovery
- active learning
- text classification
- x ray
- model selection
- medical images
- website
- data sets
- inductive logic programming
- computer vision
- motion estimation
- machine learning approaches
- support vector machine
- supervised machine learning
- protein secondary structure prediction