Reducing variability of breast cancer subtype predictors by grounding deep learning models in prior knowledge.
Paul E. AndersonRicha GadgilWilliam A. JohnsonElla SchwabJean M. DavidsonPublished in: Comput. Biol. Medicine (2021)
Keyphrases
- breast cancer
- learning models
- prior knowledge
- logistic regression
- loss function
- learning algorithm
- breast cancer diagnosis
- machine learning
- diagnosis of breast cancer
- learning tasks
- machine learning algorithms
- computer aided diagnosis
- conditional random fields
- semi supervised learning
- bladder cancer
- learning problems
- classification models
- mammogram images
- microarray
- labeled data
- breast cancer patients
- unsupervised learning
- generative model
- data analysis
- breast tissue
- cancer patients
- training data
- decision trees