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. 2023 Jan 15;59(1):171. doi: 10.3390/medicina59010171

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© 2023 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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(A). Feature importance derived from random forest; (B) Feature importance derived from AdaBoost; (C) SHAP value of all patients’ outputs in the random forest model; (D) SHAP value of all patients’ outputs in the AdaBoost model. AIS, Abbreviated Injury Score; INR, international normalized ratio; WBC, white blood cell; SBP, systolic blood pressure; RBC, red blood cell; DBP diastolic blood pressure; SDH, subdural hematoma; ISS, Injury Severity Score; GCS, Glasgow Coma Scale; SAH, subarachnoid hemorrhage; CHD, coronary heart disease.

(A). Feature importance derived from random forest; (B) Feature importance derived from AdaBoost; (C) SHAP value of all patients’ outputs in the random forest model; (D) SHAP value of all patients’ outputs in the AdaBoost model. AIS, Abbreviated Injury Score; INR, international normalized ratio; WBC, white blood cell; SBP, systolic blood pressure; RBC, red blood cell; DBP diastolic blood pressure; SDH, subdural hematoma; ISS, Injury Severity Score; GCS, Glasgow Coma Scale; SAH, subarachnoid hemorrhage; CHD, coronary heart disease.