Predicting chemotherapy-induced myelosuppression in colorectal cancer: An interpretable, machine learning-based nomogram

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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. Nov 14, 2025; 31(42): 112180
Published online Nov 14, 2025. doi: 10.3748/wjg.v31.i42.112180

Table 3 Logistic regression based on 10 machine learnings for predicting myelosuppression

MLs	Univariate logistic regression		Multivariate logistic regression
MLs	OR (95%CI)	P value	OR (95%CI)	P value
Adaptive boosting	49.558 (15.807-155.376)	0.000	0.083 (0.003-2.486)	0.151
Artificial neural network	54.444 (13.032-227.465)	0.000	1.572 (0.043-57.273)	0.805
Decision tree	10.587 (5.084-22.047)	0.000	0.563 (0.102-3.109)	0.510
Extra trees	390.471 (75.734-2013.192)	0.000	31.948 (2.468-413.586)	0.008
Gradient boosting machine	104.831 (32.579-337.322)	0.000	2.169 (0.176-26.731)	0.546
K-Nearest neighbors	24.992 (9.652-64.711)	0.000	3.081 (0.419-22.650)	0.269
Logistic regression	279.116 (24.997-3116.614)	0.000	0.225 (0.000-129.448)	0.646
Random forest	404.139 (88.973-1835.710)	0.000	94.621 (1.178-7597.788)	0.042
Support vector machine	4.180 (0.332-52.698)	0.269	23.780 (0.434-1303.403)	0.121
Extreme gradient boosting	131.875 (39.641-438.709)	0.000	2.669 (0.170-41.930)	0.485

ML: Machine learning; CI: Confidence interval; OR: Odds ratio.

Citation: Liu YM, Du YY, Song Y, Xiong HT, Yu HB, Li BH, Cai L, Ma SS, Gao J, Zhang HY, Fang RY, Cai R, Zheng HG. Predicting chemotherapy-induced myelosuppression in colorectal cancer: An interpretable, machine learning-based nomogram. World J Gastroenterol 2025; 31(42): 112180
URL: https://www.wjgnet.com/1007-9327/full/v31/i42/112180.htm
DOI: https://dx.doi.org/10.3748/wjg.v31.i42.112180

Liu YM, Du YY, Song Y, Xiong HT, Yu HB, Li BH, Cai L, Ma SS, Gao J, Zhang HY, Fang RY, Cai R, Zheng HG. Predicting chemotherapy-induced myelosuppression in colorectal cancer: An interpretable, machine learning-based nomogram. World J Gastroenterol 2025; 31(42): 112180 [PMID: 41278162 DOI: 10.3748/wjg.v31.i42.112180]

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