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Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers. (2011)
Journal Article
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 predictions provided in Par... Read More about Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers..

Related scientific information: a study on user-defined relevance. (2011)
Thesis
BERESI, U.C. 2011. Related scientific information: a study on user-defined relevance. Robert Gordon University, PhD thesis.

This dissertation presents an investigation into the manifestations of relevance observed in the context of related scientific information. The main motivation is to observe if researchers, in the context of knowledge discovery, use different criteri... Read More about Related scientific information: a study on user-defined relevance..