An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression Data.
Davide ChiccoLuca OnetoPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2021)
Keyphrases
- gene expression data
- random forests
- heart failure
- gene expression
- microarray
- random forest
- decision trees
- microarray data
- ensemble methods
- logistic regression
- data sets
- machine learning algorithms
- high dimensionality
- feature selection
- health care
- high dimensional data
- computer vision
- databases
- normal subjects
- learning algorithm
- machine learning methods