Machine learning algorithms being an auxiliary tool to predict the overall survival of patients with renal cell carcinoma using the SEER database.
Journal Information
Full Title: Transl Androl Urol
Abbreviation: Transl Androl Urol
Country: Unknown
Publisher: Unknown
Language: N/A
Publication Details
Subject Category: Urology & Nephrology
Available in Europe PMC: Yes
Available in PMC: Yes
PDF Available: No
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"Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://tau.amegroups.com/article/view/10.21037/tau-23-319/coif). C.C. is an employee of Digital Health China Technologies, however there is no conflicts of interest between this research and the company. The other authors have no conflicts of interest to declare."
"Funding: None."
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Last Updated: Aug 05, 2025