Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease.
Lei HuangYaozong GaoYan JinKim-Han ThungDinggang ShenPublished in: MLMI (2015)
Keyphrases
- random forest
- predicting future
- disease diagnosis
- random forests
- feature set
- disease progression
- decision trees
- early diagnosis
- ensemble methods
- feature importance
- high dimensional
- fold cross validation
- multi label
- computer aided diagnosis
- ensemble classifier
- machine learning
- decision tree learning algorithms
- feature extraction
- feature selection