Improving the Utility of Tobacco-Related Problem List Entries Using Natural Language Processing.
Daniel R. HarrisDarren W. HendersonAlexandria CorbeauPublished in: AMIA (2020)
Keyphrases
- natural language processing
- machine learning
- natural language
- semantic analysis
- utility function
- closely related
- text mining
- question answering
- named entity recognition
- free text
- knowledge representation
- image processing
- neural network
- knowledge discovery
- word sense disambiguation
- multiscale
- case study
- text summarization
- language processing
- text processing
- computational linguistics