12 research outputs found

    Fig 2 -

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    Receiver-operating characteristic curves for a) 30-day mortality and b) 30-day unplanned readmission models.</p

    Performance metrics of all readmission models on the testing set.

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    Performance metrics of all readmission models on the testing set.</p

    Gini impurity and SHAP scores for unplanned readmission.

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    a) Gini impurity scores for features included in the 30-day unplanned readmission model. Higher values indicate increased effectiveness of features at separating those at risk of 30-day unplanned readmission from those not at risk of 30-day unplanned readmission. b) A Shapley summary plot. Color indicates feature value (red: High, blue: Low) and position along the x-axis indicates magnitude and direction of the feature’ impact on model predictions.</p

    AUC, accuracy, sensitivity, and specificity of the random forest models.

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    AUC, accuracy, sensitivity, and specificity of the random forest models.</p

    Gini impurity and SHAP scores for mortality.

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    a) Gini impurity scores for features included in the 30-day mortality model. Higher values indicate increased effectiveness of features at separating those at risk of 30-day mortality from those not at risk of 30-day mortality. b) A Shapley summary plot. Color indicates feature value (red: High, blue: Low) and position.</p

    Model performance on demographic subgroups of the test set, demonstrating equivalent performance on race (white and non-white), sex (male and female), and age (under age 65 and 65 and older) groups.

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    Model performance on demographic subgroups of the test set, demonstrating equivalent performance on race (white and non-white), sex (male and female), and age (under age 65 and 65 and older) groups.</p

    Survival curves for subgroups stratified by top predictive features.

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    (30-day mortality: Physiologic high-risk factors, elective surgery, functional status, HCT, and creatinine, 30-day unplanned readmission: Open wound/wound infection, major reintervention of treated arterial segment, elective surgery, claudication, and diabetes). (TIF)</p

    Performance metrics of all models on the testing set.

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    Performance metrics of all models on the testing set.</p
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