Predicting Positive Repeat Prostate Biopsy Outcomes: Comparison of Machine Learning Approaches to Identify Key Parameters and Optimal Algorithms.

Xinru Zhang,Chao Feng,Xiao Bai,Xufeng Peng,Qian Guo,Lei Chen,Jingdong Xue

Archivos espanoles de urologia（2023）

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摘要

We developed an SVC-based machine learning algorithm for predicting positive repeat prostate biopsy results. Our analysis revealed that initial and latest prostate volumes, initial and latest PSA levels, latest fPSA/PSA ratio and age are significant factors for this model.

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关键词

machine learning, biopsy, cancer, prostate, nomograms

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