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  • Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers. 

    Regnier-Coudert, Olivier; McCall, John; Lothian, Robert; Lam, Thomas; McClinton, Sam; N'Dow, James (Elsevier https://doi.org/10.1016/j.artmed.2011.11.003, 2011-12-27)
    REGNIER-COUDERT, O., MCCALL, J., LOTHIAN, R., LAM, T., MCCLINTON, S. and N'DOW, J. 2012. Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers. Artificial intelligence in medicine [online], 55(1), pages 25-35. Available from: https://doi.org/10.1016/j.artmed.2011.11.003
    Objectives: Prediction of prostate cancer pathological stage is an essential step in a patient's pathway. It determines the treatment that will be applied further. In current practice, urologists use the pathological stage ...