Development and validation of a tongue image-clinical nomogram for detection of advanced colorectal adenoma

doi:10.3748/wjg.119646

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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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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Gastroenterol. Sep 7, 2026; 32(33): 119646
Published online Sep 7, 2026. doi: 10.3748/wjg.119646

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Figure 2 Least absolute shrinkage and selection operator logistic regression for tongue-image feature selection in the training cohort. A: The coefficient path plot; B: Cross-validation curve, show feature shrinkage and selection of the optimal penalty parameter (λmin = 0.0122661; λ 1se = 0.04951844). λ 1se was chosen, yielding seven tongue-image features with non-zero coefficients. LASSO: Least absolute shrinkage and selection operator.

Citation: Zhang J, Zhu ML, Xie YX, Fan YQ, Zhang W, Liu SS, Yu XM, Wang W, Fu XY. Development and validation of a tongue image-clinical nomogram for detection of advanced colorectal adenoma. World J Gastroenterol 2026; 32(33): 119646
URL: https://www.wjgnet.com/1007-9327/full/v32/i33/119646.htm
DOI: https://dx.doi.org/10.3748/wjg.119646

Zhang J, Zhu ML, Xie YX, Fan YQ, Zhang W, Liu SS, Yu XM, Wang W, Fu XY. Development and validation of a tongue image-clinical nomogram for detection of advanced colorectal adenoma. World J Gastroenterol 2026; 32(33): 119646 [DOI: 10.3748/wjg.119646]

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