12 research outputs found
Fig 2 -
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.
Performance metrics of all readmission models on the testing set.</p
Gini impurity and SHAP scores for unplanned readmission.
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.
AUC, accuracy, sensitivity, and specificity of the random forest models.</p
Gini impurity and SHAP scores for mortality.
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.
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.
(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.
Performance metrics of all models on the testing set.</p