A comparative study of patient and staff safety evaluation using tree-based machine learning algorithms.
Mecit Can Emre SimseklerClarence RodriguesAbroon QaziSamer EllahhamAl OzonoffPublished in: Reliab. Eng. Syst. Saf. (2021)
Keyphrases
- machine learning algorithms
- benchmark data sets
- machine learning
- learning algorithm
- predictive accuracy
- machine learning methods
- decision trees
- learning problems
- machine learning approaches
- random forests
- standard machine learning algorithms
- learning tasks
- input features
- patient safety
- machine learning models
- neural network
- transfer learning
- monitoring system
- learning models
- artificial neural networks
- real world
- supervised learning algorithms