SHAP-based Model Interpretation.

<p>(A) SHAP summary dot plot. Higher SHAP values indicate increased likelihood of delirium. Dots represent patients’ SHAP values, colored by feature value (yellow for higher, purple for lower); (B) Importance ranking of variables in the XGBoost model. Key features include mean diastolic blood...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Zong-bi Wu (20910827) (author)
مؤلفون آخرون:	You-li Jiang (20910830) (author), Shuai-shuai Li (3444416) (author), Ao Li (15375) (author)
منشور في:	2025
الموضوعات:	Medicine Biotechnology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified xgboost )&# 8212 shapley additive explanations key features identified intensive care unit indicating superior performance increases hospitalization costs glasgow coma scale extreme gradient boosting evaluated using ten best discriminative ability assist clinical decision fold cross validation evaluated using accuracy 155 patients admitted xgboost model demonstrated machine learning model xlink "> data retrospective study based respiratory failure admitted predict delirium risk feature variable screening elderly icu patients elderly copd patients best subset method iv </ p gcs motor score shap analysis included xlink "> respiratory failure validation set iv database high accuracy 155 ). verbal score predictive model f1 score equation score worsens outcomes study aimed renal disease random forest poor prognosis patient population noninvasive ventilation nearest neighbor logistic regression icu admission hospital stay first day f1 scores delirium incidence
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SHAP-based Model Interpretation.

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