Machine Learning for Predicting Hospital Acquired Pressure Injuries in ICU Patients: From Explainable AI to Ensemble Super Learners.
Jenny AlderdenAndrew WilsonSergey KrikovJonathan DimasRyan ButcherTracey L. YapPublished in: AMIA (2021)
Keyphrases
- intensive care unit
- machine learning
- intensive care units
- intensive care
- learning systems
- decision support system
- artificial intelligence
- high risk
- clinical data
- blood pressure
- learning algorithm
- feature selection
- ensemble methods
- monitoring system
- medical data
- machine learning methods
- knowledge representation
- learning environment
- decision trees
- emergency department
- ensemble learning
- base learners
- e learning
- machine learning algorithms
- medical doctors
- data mining
- learning experience
- learning styles
- learning activities
- collaborative learning
- decision support
- expert systems
- training set
- health care
- support vector machine
- case based reasoning
- patient records
- computer science
- vital signs
- clinical information
- medical knowledge
- knowledge acquisition
- electronic health records
- survival analysis
- patient data
- base classifiers
- prognostic models
- information systems