RISK: A Random Optimization Interactive System Based on Kernel Learning for Predicting Breast Cancer Disease Progression.
Fiorella GuadagniFabio Massimo ZanzottoNoemi ScarpatoAlessandro RulloSilvia RiondinoPatrizia FerroniMario RoselliPublished in: IWBBIO (1) (2017)
Keyphrases
- breast cancer
- disease progression
- kernel learning
- cross sectional
- computer aided diagnosis
- kernel function
- logistic regression
- prostate cancer
- multiple kernel learning
- decision making
- semi supervised
- mathematical modeling
- blood vessels
- metric learning
- ct scans
- computer aided
- decision support system
- dimensionality reduction
- data sets