Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event.
Zfania Tom KorachKenrick D. CatoSarah A. CollinsMin-Jeoung KangChristopher KnaplundPatricia C. DykesLiqin WangKumiko O. SchnockJose P. GarciaHaomiao JiaFrank Y. ChangJessica M. SchwartzLi ZhouPublished in: Appl. Clin. Inform. (2019)
Keyphrases
- rapid response
- machine learning
- supervised learning
- unsupervised learning
- topic modeling
- event detection
- real time
- topic discovery
- real world events
- computer vision
- supervised classification
- topic models
- knowledge acquisition
- data mining
- health care
- prior knowledge
- information retrieval
- decision trees
- machine learning methods
- knowledge discovery
- semi supervised
- text mining
- text classification
- machine learning algorithms
- keywords
- learning algorithm
- related topics
- clinical data
- information extraction
- patient care
- healthcare professionals
- emerging topics
- latent dirichlet allocation
- data analysis
- medical data
- learning tasks
- feature selection
- news stories
- information systems
- high risk
- latent topics
- pattern recognition
- computer science
- probabilistic topic models
- artificial intelligence
- model selection
- computational intelligence
- natural language processing