Addressing Human Subjectivity via Transfer Learning: An Application to Predicting Disease Outcome in Multiple Sclerosis Patients.
Yijun ZhaoCarla E. BrodleyTanuja ChitnisBrian C. HealyPublished in: SDM (2014)
Keyphrases
- multiple sclerosis
- transfer learning
- clinical trials
- brain mri
- magnetic resonance images
- magnetic resonance
- learning tasks
- knowledge transfer
- white matter
- mr images
- labeled data
- reinforcement learning
- cross domain
- active learning
- machine learning
- collaborative filtering
- text classification
- text categorization
- machine learning algorithms
- transfer knowledge
- medical images
- semi supervised learning
- learning algorithm
- disease progression
- corpus callosum
- feature extraction
- brain tissue
- image processing
- anatomical structures
- multi task
- semi supervised
- text mining
- decision support system
- data analysis
- feature space
- decision trees
- mri data
- pairwise
- feature selection
- computer vision