Explainable and visualizable machine learning models to predict biochemical recurrence of prostate cancer-Reference-Cited by-同舟云学术

Explainable and visualizable machine learning models to predict biochemical recurrence of prostate cancer

Published:2024-04-11 Issue:9 Volume:26 Page:2369-2379
ISSN:1699-3055
Container-title:Clinical and Translational Oncology
language:en
Short-container-title:Clin Transl Oncol

Author:

Lu Wenhao,Zhao Lin,Wang Shenfan,Zhang Huiyong,Jiang Kangxian,Ji Jin,Chen Shaohua,Wang Chengbang,Wei Chunmeng,Zhou Rongbin,Wang Zuheng,Li Xiao,Wang Fubo^ORCID,Wei Xuedong,Hou Wenlei

Funder

Guangxi Natural Science Foundation of China

Science and Technology Major Project of Guangxi

the Medical Excellence Award Funded by the Creative Research Development Grant from the First Affiliated Hospital of Guangxi Medical University, and Innovation Project of Guangxi Graduate Education

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12094-024-03480-x.pdf

Reference30 articles.

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2. Van den Broeck T, van den Bergh RCN, Briers E, Cornford P, Cumberbatch M, Tilki D, et al. Biochemical recurrence in prostate cancer: The European Association of Urology Prostate Cancer Guidelines Panel Recommendations. Eur Urol Focus. 2020;6(2):231–4. https://doi.org/10.1016/j.euf.2019.06.004.

3. Murata Y, Tatsugami K, Yoshikawa M, Hamaguchi M, Yamada S, Hayakawa Y, et al. Predictive factors of biochemical recurrence after radical prostatectomy for high-risk prostate cancer. Int J Urol. 2018;25(3):284–9. https://doi.org/10.1111/iju.13514.

4. Van den Broeck T, van den Bergh RCN, Arfi N, Gross T, Moris L, Briers E, et al. Prognostic value of biochemical recurrence following treatment with curative intent for prostate cancer: a systematic review. Eur Urol. 2019;75(6):967–87. https://doi.org/10.1016/j.eururo.2018.10.011.

5. Vale CL, Fisher D, Kneebone A, Parker C, Pearse M, Richaud P, et al. Adjuvant or early salvage radiotherapy for the treatment of localised and locally advanced prostate cancer: a prospectively planned systematic review and meta-analysis of aggregate data. Lancet. 2020;396(10260):1422–31. https://doi.org/10.1016/S0140-6736(20)31952-8.

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