A novel breast cancer prediction system

@article{Tee2011ANB,
  title={A novel breast cancer prediction system},
  author={Ir Cath Tee and Ali H. Gazala},
  journal={2011 International Symposium on Innovations in Intelligent Systems and Applications},
  year={2011},
  pages={621-625}
}
This paper presents a novel design and methodology which are implemented through a web based decision support system designed for oncologists and medical professionals. It gives an overview on the development process and methodology. It also explores previous works and similar research in this domain while highlights some of the limitations in those systems and compares our system which has addressed those shortcomings as well as novel features to be included for future work. 

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Predicting the survivability of breast cancer patients using ensemble approach

2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) • 2014
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Predicting breast cancer survivability: a comparison of three data mining methods

Artificial Intelligence in Medicine • 2005
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