Clustering Emergency Departments Patients Using Unsupervised Learning and Hospital Encounters.
Jaeyong YuJunsang YooJi Soh YeongWonchul ChaPublished in: AMIA (2018)
Keyphrases
- unsupervised learning
- emergency department
- data clustering
- supervised learning
- information systems
- patient records
- dimensionality reduction
- patient groups
- high risk
- cluster analysis
- semi supervised
- medical care
- vital signs
- intensive care unit
- minimum message length
- clustering method
- health care
- disease outbreaks
- object recognition
- medical doctors
- intensive care
- decision making
- machine learning
- clustering algorithm
- intensive care units
- management system
- hospital information systems
- data sets
- patient care
- feature selection
- heart rate
- clinical data
- medical data
- monitoring system
- k means
- model selection