Ana S. Fernandes, Pedro Alves, Ian H. Jarman, Terence A. Etchells, José M. Fonseca, Paulo J. G. Lisboa
Abstract:This paper proposes a Web clinical decision support system for clinical oncologists and for breast cancer patients making prognostic assessments, using the particular characteristics of the individual patient. This system comprises three different prognostic modelling methodologies: the clinically widely used Nottingham prognostic index (NPI); the Cox regression modelling and a partial logistic artificial neural network with automatic relevance determination (PLANN-ARD). All three models yield a different prog…
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