Personalised health document summarisation exploiting Unified Medical Language System and topic-based clustering for mobile healthcare.
Gun-Woo KimDong-Ho LeePublished in: J. Inf. Sci. (2018)
Keyphrases
- health information
- topic discovery
- medical care
- health information systems
- health care
- document clustering
- health insurance
- health services
- chronic disease
- home care
- patient care
- primary care
- medical information
- clustering method
- document content
- electronic health records
- health related
- mobile learning
- health monitoring systems
- document set
- health records
- clinical pathway
- information retrieval
- clustering algorithm
- context aware
- health monitoring
- k means
- language learning
- diabetic patients
- clinical decision support
- mobile technologies
- medical devices
- keywords
- query biased
- topic models
- document corpus
- healthcare systems
- information systems
- logical structure
- document images
- public health
- mobile devices
- patient data
- patient monitoring
- healthcare providers
- mobile phone
- latent topics
- continuous monitoring
- cardiovascular disease
- medical records
- medical diagnosis
- extensible markup language
- latent dirichlet allocation
- topic detection
- smoking cessation
- medical practitioners
- document collections
- automatic summarization
- web documents
- monitoring system
- text documents
- free text
- healthcare delivery
- document level