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Fig. 7 | BMC Geriatrics

Fig. 7

From: Elucidating predictors of preoperative acute heart failure in older people with hip fractures through machine learning and SHAP analysis: a retrospective cohort study

Fig. 7

Variable Importance and Correlation Matrix from Preprocessed Data in Machine Learning Model Analysis. A displays the variable importance scores, with the most significant features for the model’s standardization being Acute Myocardial Infarction, Ventricular Arrhythmia, Pulmonary Infection, and Anemia. B shows the correlation matrix of the variables, with red indicating a strong positive correlation, blue a strong negative correlation, and white indicating no correlation. These visualizations provide the relationships between different clinical variables

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BMC Geriatrics

ISSN: 1471-2318

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