Prediction of breast cancer survivability using ensemble algorithms

@article{Adegoke2017PredictionOB,
  title={Prediction of breast cancer survivability using ensemble algorithms},
  author={Vincent F. Adegoke and Daqing Chen and Ebad Banissi and Safia Barikzai},
  journal={2017 International Conference on Smart Systems and Technologies (SST)},
  year={2017},
  pages={223-231}
}
In this paper, several ensemble cancer survivability predictive models are presented and tested based on three variants of AdaBoost algorithm. In the models we used Random Forest, Radial Basis Function Network and Neural Network algorithms as base learners while AdaBoostM1, Real AdaBoost and MultiBoostAB were used as ensemble techniques and ten other classifiers as standalone models. There has been major research in ensemble modelling in statistics, medicine, technology and artificial… CONTINUE READING