Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method.
Hung-Yi LoChun-Min ChangTsung-Hsien ChiangCho-Yi HsiaoAnta HuangTsung-Ting KuoWei-Chi LaiMing-Han YangJung-Jung YehChun-Chao YenShou-De LinPublished in: SIGKDD Explor. (2008)
Keyphrases
- medical data
- ensemble methods
- supervised learning
- benchmark datasets
- learning algorithm
- decision trees
- machine learning methods
- feature extraction
- generalization ability
- model selection
- medical images
- digitized mammograms
- machine learning
- prediction accuracy
- multi class
- classification algorithm
- image classification
- classification accuracy
- training set