Integrating traditional Chinese medicine syndromes with clinical variables to predict lower extremity arterial disease in type 2 diabetes

doi:10.4239/wjd.125698

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World Journal of Diabetes

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1948-9358

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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 Diabetes. Nov 15, 2026; 17(11): 125698
Published online Nov 15, 2026. doi: 10.4239/wjd.125698

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Figure 3 Receiver operating characteristic curves of five machine learning prediction models in the training and validation sets.

Citation: Lv YW, Jiang AJ, Geng YM, Hu M, Wang YQ, Ma L, Shen N, Zhao JD. Integrating traditional Chinese medicine syndromes with clinical variables to predict lower extremity arterial disease in type 2 diabetes. World J Diabetes 2026; 17(11): 125698
URL: https://www.wjgnet.com/1948-9358/full/v17/i11/125698.htm
DOI: https://dx.doi.org/10.4239/wjd.125698

Lv YW, Jiang AJ, Geng YM, Hu M, Wang YQ, Ma L, Shen N, Zhao JD. Integrating traditional Chinese medicine syndromes with clinical variables to predict lower extremity arterial disease in type 2 diabetes. World J Diabetes 2026; 17(11): 125698 [DOI: 10.4239/wjd.125698]

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