Prognostic role of Ki-67 in colorectal carcinoma: Development and evaluation of machine learning prediction models

doi:10.5306/wjco.v16.i8.107306

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 16, Issue 8

This Article

(62)

(54)

(0)

(11)

(2834)

(5)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Clinical Oncology

ISSN

2218-4333

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Basic Study

World J Clin Oncol. Aug 24, 2025; 16(8): 107306
Published online Aug 24, 2025. doi: 10.5306/wjco.v16.i8.107306

Full Size Figure Download Figure

Figure 6 Comparative receiver operating characteristic analysis of prediction models in the external validation set. A: Support vector machine; B: Random forest; C: The eXtreme gradient boosting. ROC: Receiver operating characteristic; SVM: Support vector machine; XGBoost: eXtreme gradient boosting.

Citation: Zeng DT, Li MJ, Lin R, Huang WJ, Li SD, Huang WY, Li B, Li Q, Chen G, Jiang JS. Prognostic role of Ki-67 in colorectal carcinoma: Development and evaluation of machine learning prediction models. World J Clin Oncol 2025; 16(8): 107306
URL: https://www.wjgnet.com/2218-4333/full/v16/i8/107306.htm
DOI: https://dx.doi.org/10.5306/wjco.v16.i8.107306

Zeng DT, Li MJ, Lin R, Huang WJ, Li SD, Huang WY, Li B, Li Q, Chen G, Jiang JS. Prognostic role of Ki-67 in colorectal carcinoma: Development and evaluation of machine learning prediction models. World J Clin Oncol 2025; 16(8): 107306 [PMID: 40901317 DOI: 10.5306/wjco.v16.i8.107306]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.