Automatic Extraction of Social Determinants of Health from Veterans Affairs Clinical Documents using Natural Language Processing.
Brett R. SouthLee M. ChristensenDanielle L. MoweryMelissa CastineMarzieh ValiMarjorie CarterMike ConwayAdi V. GundlapalliWendy W. ChapmanSalomeh KeyhaniPublished in: CRI (2017)
Keyphrases
- automatic extraction
- natural language processing
- free text
- natural language text
- portuguese language
- information extraction
- patient records
- medical records
- relation extraction
- text documents
- clinical guidelines
- information retrieval
- text mining
- machine learning
- wordnet
- health informatics
- linguistic analysis
- health care
- social interaction
- textual data
- information retrieval systems
- social networks
- document clustering
- biomedical literature
- social media
- clinical pathway
- document classification
- primary care
- natural language
- diagnostic imaging
- health information systems
- word sense disambiguation
- web documents
- cardiovascular disease
- electronic health records
- computational linguistics
- keywords
- semantic relations
- machine translation
- semantic information
- text processing
- semantic relationships
- patient care
- question answering
- term extraction
- chronic disease
- co occurrence
- national health
- semantic similarity
- named entity recognition
- digital libraries
- relevant documents
- diabetic patients
- wrapper generation
- search engine
- metadata
- clinical trials