Automation of penicillin adverse drug reaction categorisation and risk stratification with machine learning natural language processing.
Joshua M. InglisStephen BacchiAlexander TroelnikovWilliam SmithSepehr ShakibPublished in: Int. J. Medical Informatics (2021)
Keyphrases
- machine learning
- natural language processing
- information extraction
- feature engineering
- computational linguistics
- text mining
- computational biology
- risk management
- natural language
- free text
- question answering
- artificial intelligence
- language processing
- machine learning methods
- wordnet
- semantic analysis
- speech processing
- text classification
- data mining
- text processing
- adverse drug reaction
- pattern recognition
- computational intelligence
- semi supervised learning
- risk measures
- decision trees
- support vector machine
- risk assessment
- knowledge representation
- knowledge discovery
- named entity recognition
- data sets
- learning algorithm
- decision making
- explanation based learning
- knowledge acquisition
- learning tasks
- machine learning algorithms
- machine translation
- knowledge base
- model selection
- text categorisation
- feature selection
- ontology learning
- supervised learning
- dependency parsing
- inductive learning
- named entities
- text summarization
- word sense disambiguation
- active learning
- decision support system