Enhancing Ensemble Prediction Accuracy of Breast Cancer Survivability and Diabetes Diagnostic Using Optimized EKF-RBFN Trained Prototypes.
Vincent F. AdegokeDaqing ChenEbad BanissiSafia BarsikzaiPublished in: SoCPaR (2018)
Keyphrases
- prediction accuracy
- breast cancer
- ensemble methods
- training set
- clinical diagnosis
- early detection
- breast cancer diagnosis
- logistic regression
- computer aided diagnosis
- diagnosis of breast cancer
- cad systems
- multilayer perceptron
- predictive power
- random forest
- improve the prediction accuracy
- medical diagnosis
- training data
- expert systems
- neural network
- decision trees
- computer aided detection
- radial basis function
- survival analysis
- classification accuracy
- benign and malignant
- mammogram images
- estimation accuracy
- breast tissue
- learning algorithm
- text mining
- cancer patients
- medical images
- risk factors