An RBF-PSO Based Approach for Modeling Prostate Cancer

Emma Perracchione; Ilaria Stura

doi:10.1063/1.4952182

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arXiv · 1601.05436

An RBF-PSO Based Approach for Modeling Prostate Cancer

Emma Perracchione·Ilaria Stura

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Abstract

Prostate cancer is one of the most common cancers in men. It is characterized by a slow growth and it can be diagnosed in an early stage by observing the Prostate Specific Antigen (PSA). However, a relapse after the primary therapy could arise and different growth characteristics of the new tumor are observed. In order to get a better understanding of the phenomenon, a mathematical model involving several parameters is considered. To estimate the values of the parameters identifying the disease risk level a novel approach, based on combining Particle Swarm Optimization (PSO) with a meshfree interpolation method, is proposed.

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Emma Perracchione, Ilaria Stura. 2015-12-12. An RBF-PSO Based Approach for Modeling Prostate Cancer. https://doi.org/10.1063/1.4952182

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