Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12530/22431
Title: Development of Interpretable Predictive Models for BPH and Prostate Cancer.
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Issue Date: 2015
Citation: Clin Med Insights Oncol.2015;(9):15-24
Abstract: Traditional methods for deciding whether to recommend a patient for a prostate biopsy are based on cut-off levels of stand-alone markers such as prostate-specific antigen (PSA) or any of its derivatives. However, in the last decade we have seen the increasing use of predictive models that combine, in a non-linear manner, several predictives that are better able to predict prostate cancer (PC), but these fail to help the clinician to distinguish between PC and benign prostate hyperplasia (BPH) patients. We construct two new models that are capable of predicting both PC and BPH.
PMID: 25780348
URI: https://hdl.handle.net/20.500.12530/22431
Rights: openAccess
ISSN: 1179-5549
Appears in Collections:Fundaciones e Institutos de Investigación > IIS H. U. La Paz > Artículos
Hospitales > H. U. La Paz > Artículos

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