Classifiers for Identifying the Medical Specialty of Clinical Documents.
Wei-Hung WengKavishwar B. WagholikarHenry C. ChuehPublished in: CRI (2017)
Keyphrases
- patient records
- medical records
- medical domain
- medical information
- medical diagnostic
- medical experts
- free text
- medical data
- diagnostic imaging
- medical treatment
- document collections
- decision trees
- clinical data
- training data
- information retrieval
- information retrieval systems
- clinical decision support
- disease diagnosis
- medical knowledge
- xml documents
- medical diagnosis
- text classifiers
- support vector
- document clustering
- text documents
- diagnostic process
- feature set
- medical students
- metadata
- cancer treatment
- web documents
- clinical decision support systems
- medical education
- diabetic patients
- naive bayes
- relevant documents
- training set
- patient data
- cardiovascular disease
- health information systems
- medical doctors
- medical practice
- feature selection
- therapy planning
- test collection
- medical databases
- clinical guidelines
- ischemic stroke
- evidence based medicine
- automatic text classification
- medical practitioners
- machine learning
- rule interestingness measures
- national health
- discharge summaries
- patient care
- electronic patient record
- operating room
- classification algorithm
- heart disease