Asian Journal of Information Technology

Year: 2020
Volume: 19
Issue: 11
Page No. 263 - 269

Predictive Model for Likelihood of Survival among Breast Cancer Patients using Machine Learning Techniques

Authors : Ajinaja Micheal Olalekan and Mobolaji Olarinde

References

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Elwood, J.M., E. Tawfiq, S. TinTin, R.J. Marshall and T.M. Phung et al., 2018. Development and validation of a new predictive model for breast cancer survival in New Zealand and comparison to the Nottingham prognostic index. BMC Can., Vol. 18, 10.1186/s12885-018-4791-x

National Cancer Institute, 2019. Breast cancer treatment-patient version. National Cancer Institute, Bethesda, Maryland.

Stark, G.F., G.R. Hart, B.J. Nartowt and J. Deng, 2019. Predicting breast cancer risk using personal health data and machine learning models. PLoS One, Vol. 14, No. 12.

Wang, F., S. McLafferty, V. Escamilla and L. Luo, 2008. Late-stage breast cancer diagnosis and health care access in Illinois. Prof. Geogr., 60: 54-69.
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