Forecasting patient flows with pandemic induced concept drift using explainable machine learning.
Teo SusnjakPaula MaddiganPublished in: EPJ Data Sci. (2023)
Keyphrases
- concept drift
- machine learning
- data streams
- streaming data
- drift detection
- drifting concepts
- non stationary
- classification algorithm
- data stream classification
- incremental clustering
- change detection
- batch learning
- evolving data streams
- data stream mining
- machine learning methods
- data distribution
- learning algorithm
- pattern recognition
- machine learning algorithms
- active learning
- learning tasks
- data mining
- decision trees
- data analysis
- reinforcement learning
- inductive logic programming
- computer vision
- knowledge representation
- knowledge discovery
- concept descriptions
- public health
- database systems
- bayesian networks
- knowledge acquisition
- feature selection
- knn
- support vector machine
- missing values
- information extraction