Machine learning algorithms able to predict the prognosis of gastric cancer patients treated with immune checkpoint inhibitors

doi:10.3748/wjg.v30.i40.4354

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Oct 28, 2024 (publication date) through Dec 26, 2024

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World Journal of Gastroenterology

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1007-9327

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

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World J Gastroenterol. Oct 28, 2024; 30(40): 4354-4366
Published online Oct 28, 2024. doi: 10.3748/wjg.v30.i40.4354

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Figure 5 When XGBoost is used to predict overall survival, the distribution of risk scores in each subgroup of the training set, and the test set.

Citation: Li HW, Zhu ZY, Sun YF, Yuan CY, Wang MH, Wang N, Xue YW. Machine learning algorithms able to predict the prognosis of gastric cancer patients treated with immune checkpoint inhibitors. World J Gastroenterol 2024; 30(40): 4354-4366
URL: https://www.wjgnet.com/1007-9327/full/v30/i40/4354.htm
DOI: https://dx.doi.org/10.3748/wjg.v30.i40.4354