Predictive model for PSA persistence after radical prostatectomy using machine learning algorithms

Predictive model for PSA persistence after radical prostatectomy using machine learning algorithms

ObjectiveTo evaluate the efficacy of a machine learning model for predicting prostate-specific antigen (PSA) persistence after radical prostatectomy (RP).MethodsData from 470 patients who underwent RP at the Affiliated Hospital of Qingdao University from January 2018 to June 2021 were retrospectivel...

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Bibliographic Details
Main Authors: Haotian Du, Guipeng Wang, Yongchao Yan, Shengxian Li, Xuecheng Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Oncology
Subjects:
radical prostatectomy
PSA persistence
machine learning
random forest algorithm
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1452265/full
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https://www.frontiersin.org/articles/10.3389/fonc.2024.1452265/full

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