Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches.
Philip John GorinskiHonghan WuClaire GroverRichard TobinConn TalbotHeather WhalleyCathie SudlowWilliam WhiteleyBeatrice AlexPublished in: CoRR (2019)
Keyphrases
- machine learning approaches
- named entity recognition
- electronic health records
- information extraction
- named entities
- natural language processing
- text summarization
- maximum entropy
- semi supervised
- machine learning algorithms
- machine learning methods
- machine learning
- annotated corpus
- conditional random fields
- relation extraction
- expert systems
- text mining
- co occurrence
- health care
- medical records
- database
- health records
- data mining methods
- clinical trials
- feature selection
- medical data
- structured data
- data sets