TEMPTING system: A hybrid method of rule and machine learning for temporal relation extraction in patient discharge summaries.
Yung-Chun ChangHong-Jie DaiJohnny Chi-Yang WuJian-Ming ChenRichard Tzong-Han TsaiWen-Lian HsuPublished in: J. Biomed. Informatics (2013)
Keyphrases
- hybrid method
- relation extraction
- discharge summaries
- information extraction
- machine learning
- medical information
- automatic extraction
- support vector machine
- named entities
- hospital information systems
- semantic relations
- question answering
- patient records
- domain specific
- natural language processing
- temporal databases
- named entity recognition
- semantic features
- semantic role labeling
- data mining
- temporal data
- free text
- knowledge acquisition
- tree kernels
- medical records
- medical treatment
- text mining
- information retrieval
- hybrid algorithm
- feature selection
- medical domain
- knowledge discovery
- medical data
- text classification
- supervised learning
- artificial intelligence
- clinical data
- association rules
- support vector
- feature extraction
- decision trees