A Machine Learning Approach to Predict an Early Biochemical Recurrence after a Radical Prostatectomy

A Machine Learning Approach to Predict an Early Biochemical Recurrence after a Radical Prostatectomy

Background: Approximately 20%–50% of prostate cancer patients experience biochemical recurrence (BCR) after radical prostatectomy (RP). Among them, cancer recurrence occurs in about 20%–30%. Thus, we aim to reveal the utility of machine learning algorithms for the prediction of early BCR after RP. M...

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Bibliographic Details
Main Authors: Seongkeun Park, Jieun Byun, Ji young Woo
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
machine learning
prostate cancer
biochemical recurrence
Online Access:https://www.mdpi.com/2076-3417/10/11/3854

Internet

https://www.mdpi.com/2076-3417/10/11/3854

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