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. 2022 Nov 29;15(11):1136–1141. doi: 10.1136/jnis-2022-019598

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© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.

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A,B SHAP summary plot of the impact of the features on the prediction of the PFCML-MT model. (A) Bar chart of the average SHAP value for each predictor. (B) Violin plots. The SHAP values (x-axis) represent the contribution of each predictor (y-axis). Features are ordered according to importance. Collateral status is a categorical variable and was preprocessed with one-hot encoding, thus its SHAP value is presented as ‘collateral_status_1.0’ and ‘collateral_status_0.0’ and its contribution is the sum. AGR, albumin-to-globulin ratio; CRP, C-reactive protein; eGFR, estimated glomerular filtration rate; NIHSS, National Institutes of Health Stroke Scale; SHAP, SHapley Additive exPlanations.