Scientific Reports

Using XBGoost, an interpretable machine learning model, for diagnosing prostate cancer in patients with PSA < 20 ng/ml based on the PSAMR indicator

D Dengke Li B Baoyuan Chang Q Qunlian Huang
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Article Details

Volume / Issue Vol. 15, Issue 1
Published January 09, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio
ISSN: 2045-2322 Open Access Life Sciences

Authors (3)

D

Dengke Li

B

Baoyuan Chang

Q

Qunlian Huang

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