Integrating immune-inflammatory and nutritional indicators into machine learning-driven risk stratification for colorectal cancer

doi:10.3748/wjg.123195

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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) 2027. 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. Jan 14, 2027; 33(2): 123195
Published online Jan 14, 2027. doi: 10.3748/wjg.123195

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Figure 7 SHapley Additive exPlanations-based explanation of survival prediction in colorectal cancer patients. A: SHapley Additive exPlanations (SHAP) bar plot for variables ranked by mean absolute SHAP values; B-G: SHAP dependence plots of the top six features showing their effects on model output. ALBI: Albumin-bilirubin index; CA19-9: Carbohydrate antigen 19-9; CEA: Carcinoembryonic antigen; FAR: Fibrinogen-to-albumin ratio; LMR: Lymphocyte-to-monocyte ratio; NAT: Neoadjuvant therapy; NLR: Neutrophil-to-lymphocyte ratio; PNI: Prognostic nutritional index; SHAP: SHapley Additive exPlanations.

Citation: Wang L, Liu C, Xie J, Liu JS, Zhou X, Liu F, Xiang CY, Zhao JN, Liu XR, Liu XY, Kang B, Cheng Y, Peng D. Integrating immune-inflammatory and nutritional indicators into machine learning-driven risk stratification for colorectal cancer. World J Gastroenterol 2027; 33(2): 123195
URL: https://www.wjgnet.com/1007-9327/full/v33/i2/123195.htm
DOI: https://dx.doi.org/10.3748/wjg.123195

Wang L, Liu C, Xie J, Liu JS, Zhou X, Liu F, Xiang CY, Zhao JN, Liu XR, Liu XY, Kang B, Cheng Y, Peng D. Integrating immune-inflammatory and nutritional indicators into machine learning-driven risk stratification for colorectal cancer. World J Gastroenterol 2027; 33(2): 123195 [DOI: 10.3748/wjg.123195]

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