An integrated framework for risk profiling of breast cancer patients following surgery, Artificial Intelligence in Medicine, vol.42, issue.3, pp.165-188, 2008. ,
DOI : 10.1016/j.artmed.2007.11.005
Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival, 2008 Seventh International Conference on Machine Learning and Applications, pp.8-644, 2008. ,
DOI : 10.1109/ICMLA.2008.106
Developing a prognostic model in the presence of missing data, Journal of Clinical Epidemiology, vol.56, issue.1, pp.28-37, 2003. ,
DOI : 10.1016/S0895-4356(02)00539-5
A prognostic index in primary breast cancer, British Journal of Cancer, vol.45, issue.3, p.3621, 1982. ,
DOI : 10.1038/bjc.1982.62
Computer Program to Assist in Making Decisions About Adjuvant Therapy for Women With Early Breast Cancer, Journal of Clinical Oncology, vol.19, issue.4, pp.980-991, 2001. ,
DOI : 10.1200/JCO.2001.19.4.980
A Bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer, Artificial Intelligence in Medicine, vol.28, issue.1, pp.1-25, 2003. ,
DOI : 10.1016/S0933-3657(03)00033-2
Stratification Methodologies for Neural Networks Models of Survival, Proceedings of the 10th International Work-Conference on Artificial Neural Networks (IWANN2009), pp.989-996, 2009. ,
DOI : 10.1200/JCO.2005.06.178
Classification and Regression Trees, 1984. ,
Stratification of severity of illness indices: a case study for breast cancer prognosis. Knowledge-Based Intelligent Information and Engineering Systems, pp.214-221, 2008. ,
A review of evidence of health benefit from artificial neural networks in medical intervention, Neural Networks, vol.15, issue.1, pp.9-37, 2002. ,
DOI : 10.1016/S0893-6080(01)00111-3