Machine learning-based prediction model and visual interpretation for prostate cancer

Machine learning-based prediction model and visual interpretation for prostate cancer

Abstract Background Most prostate cancers(PCa) rely on serum prostate-specific antigen (PSA) testing for biopsy confirmation, but the accuracy needs to be further improved. We need to continue to develop PCa prediction model with high clinical application value. Methods Benign prostatic hyperplasia...

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Bibliographic Details
Main Authors: Gang Chen, Xuchao Dai, Mengqi Zhang, Zhujun Tian, Xueke Jin, Kun Mei, Hong Huang, Zhigang Wu
Format: Article
Language:English
Published: BMC 2023-10-01
Series:BMC Urology
Subjects:
Prostate cancer
Machine learning
Shapley values
Biochemical parameters
Risk threshold
Online Access:https://doi.org/10.1186/s12894-023-01316-4

Internet

https://doi.org/10.1186/s12894-023-01316-4

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