Sample Selection Bias in Machine Learning for Healthcare.
Vinod Kumar ChauhanLei A. CliftonAchille SalaünHuiqi Yvonne LuKim BransonPatrick SchwabGaurav NigamDavid A. CliftonPublished in: CoRR (2024)
Keyphrases
- sample selection bias
- machine learning
- inductive bias
- machine learning algorithms
- training and testing data
- learning tasks
- machine learning methods
- decision trees
- learning algorithm
- support vector machine
- text classification
- model selection
- unlabeled data
- data mining
- unsupervised learning
- active learning
- transfer learning
- learning problems
- feature selection
- knowledge acquisition
- prior knowledge
- kernel methods
- training and test data