Research and applications: Breast cancer survivability prediction using labeled, unlabeled, and pseudo-labeled patient data.
Juhyeon KimHyunjung ShinPublished in: J. Am. Medical Informatics Assoc. (2013)
Keyphrases
- breast cancer
- patient data
- training data
- supervised learning
- bladder cancer
- survival analysis
- diagnosis of breast cancer
- logistic regression
- clinical data
- training set
- breast cancer diagnosis
- computer aided diagnosis
- early detection
- intraoperative
- outcome prediction
- septic shock
- databases
- mammogram images
- decision trees
- regression model
- automatic segmentation
- data sets
- labeled data
- intensive care
- computer aided detection