Information Extraction from Medical Documents to Determine Patient Alcohol, Tobacco, and Illicit Drug Use.
Leslie D. McIntoshWalton SumnerBijoy GeorgePavan KalantriSuhas KhotAnthony JuehneRakesh NagarajanPublished in: AMIA (2013)
Keyphrases
- information extraction
- free text
- medical records
- patient records
- web documents
- text documents
- medical experts
- medical information
- medical data
- information retrieval
- natural language processing
- medical domain
- medical staff
- medical center
- medical treatment
- medical knowledge
- unstructured documents
- textual data
- document collections
- natural language text
- clinical guidelines
- clinical trials
- precision and recall
- text mining
- electronic health records
- information retrieval systems
- structured data
- medical care
- medical devices
- patient care
- machine learning
- named entities
- semi structured
- clinical data
- named entity recognition
- keywords
- primary care
- home care
- metadata
- heart disease
- medical diagnosis
- xml documents
- medical doctors
- critical care
- health care professionals
- intensive care units
- therapy planning
- discharge summaries
- diabetic patients
- health records
- operating room
- clinical practice
- document clustering
- medical imaging
- health care
- question answering
- natural language
- intensive care
- medical practice
- patient data
- web mining
- text categorization
- query expansion
- medical practitioners
- language model