Predicting discontinuation of docetaxel treatment for metastatic castration-resistant prostate cancer (mCRPC) with random forest.
Daniel KristiyantoKevin E. AndersonLing-Hong HungKa Yee YeungPublished in: F1000Research (2016)
Keyphrases
- random forest
- prostate cancer
- radiation therapy
- cancer patients
- disease progression
- random forests
- radiotherapy treatment
- decision trees
- breast cancer
- cancer classification
- treatment plan
- computer aided
- mr images
- image guided
- feature set
- radiation dose
- medical image analysis
- ensemble methods
- multi label
- treatment planning
- medical images
- anatomical structures
- feature selection
- magnetic resonance spectroscopy
- magnetic resonance images
- base classifiers
- training data
- image segmentation
- pattern recognition
- text mining
- prediction accuracy
- machine learning