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. 2022 Aug 26;12:897596. doi: 10.3389/fonc.2022.897596

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Copyright © 2022 Shi, Zou, Liu, Wang, Chen, Sun, Yang, Cui, Zhu, Cui and Liu

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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SHAP plots of the XGBoost model. (A) The classified bar charts of the SHAP summary plots show the influence of each parameter on the XGBoost model. (B) The SHAP summary plot’s scatter plot shows the relationship between the characteristic value and the predicted probability through colors, including positive and negative predictive effects. (C) SHAP decision plot for all patients with PTC; (D) SHAP decision plot for 10 random patients with PTC, with one misjudgment case (dotted line).