Predictive value of machine learning models for lymph node metastasis in gastric cancer: A two-center study

doi:10.4240/wjgs.v16.i1.85

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Jan 27, 2024 (publication date) through May 31, 2024

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World Journal of Gastrointestinal Surgery

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1948-9366

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

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World J Gastrointest Surg. Jan 27, 2024; 16(1): 85-94
Published online Jan 27, 2024. doi: 10.4240/wjgs.v16.i1.85

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Figure 1 Flow chart. GBM: Gradient boosting machine.

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Figure 2 Prediction performance evaluation of each model. SVM: Support vector machine; AUC: Area under the receiver operating characteristic curve; MLP: Multi-layer perceptron.

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Figure 3 Feature importance. SHAP: Shapley Additive Explanations; CEA: Carcinoembryonic antigen; PIV: Pan-immune-inflammation value.

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Figure 4 Shapley Additive Explanations summary plot. SHAP: Shapley Additive Explanations; CEA: Carcinoembryonic antigen; PIV: Pan-immune-inflammation value.

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Figure 5 Web risk calculator. SHAP: Shapley Additive Explanations; CEA: Carcinoembryonic antigen; PIV: Pan-immune-inflammation value.

Citation: Lu T, Lu M, Wu D, Ding YY, Liu HN, Li TT, Song DQ. Predictive value of machine learning models for lymph node metastasis in gastric cancer: A two-center study. World J Gastrointest Surg 2024; 16(1): 85-94
URL: https://www.wjgnet.com/1948-9366/full/v16/i1/85.htm
DOI: https://dx.doi.org/10.4240/wjgs.v16.i1.85