Clinical concept normalization with a hybrid natural language processing system combining multilevel matching and machine learning ranking.
Long ChenWenbo FuYu GuZhiyong SunHaodan LiEnyu LiLi JiangYuan GaoYang HuangPublished in: J. Am. Medical Informatics Assoc. (2020)
Keyphrases
- machine learning
- natural language processing
- information extraction
- natural language
- computational biology
- text mining
- computational linguistics
- knowledge representation
- matching algorithm
- wordnet
- semantic analysis
- question answering
- learning to rank
- computer science
- ranking algorithm
- machine learning methods
- machine learning algorithms
- knowledge acquisition
- learning algorithm
- supervised learning
- text processing
- feature points
- web search
- semi supervised learning
- artificial intelligence
- data mining
- word sense disambiguation
- image matching
- machine translation
- feature engineering
- rank aggregation
- short list
- matching process
- graph matching
- learning tasks
- named entities
- pattern matching
- text classification
- feature selection
- semantic relations
- web image retrieval
- reinforcement learning
- normalization method
- concept formation
- data analysis
- medical domain
- clinical practice
- active learning
- support vector machine
- keypoints
- inductive learning