Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning.
Jenny YangAndrew A. S. SoltanDavid W. EyreDavid A. CliftonPublished in: Nat. Mac. Intell. (2023)
Keyphrases
- reinforcement learning
- machine learning
- learning algorithm
- deep learning
- function approximation
- supervised learning
- machine learning methods
- computational intelligence
- state space
- temporal difference
- machine learning algorithms
- learning problems
- medical domain
- reinforcement learning algorithms
- learning tasks
- artificial intelligence
- active learning
- dynamic programming
- knowledge representation
- support vector machine
- temporal abstractions
- feature selection
- transfer learning
- resource allocation
- learning systems
- inductive learning
- clinical data
- learning classifier systems
- explanation based learning
- markov decision processes
- unsupervised learning
- knowledge acquisition
- decision trees
- multi agent
- pattern recognition
- knowledge discovery
- computer science
- clinical setting
- game theory
- medical records
- clinical practice
- patient data
- action selection
- model free
- natural language processing
- decision support system
- text classification
- risk management
- neural network