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Published Erratum
. 2023 Sep;82(3):377-378.
doi: 10.1053/j.ajkd.2023.07.001.

Erratum Regarding "Prediction of Mortality and Major Adverse Kidney Events in Critically Ill Patients With Acute Kidney Injury" [Am J Kidney Dis. 2023;81(1):36-47]

No authors listed
Published Erratum

Erratum Regarding "Prediction of Mortality and Major Adverse Kidney Events in Critically Ill Patients With Acute Kidney Injury" [Am J Kidney Dis. 2023;81(1):36-47]

No authors listed. Am J Kidney Dis. 2023 Sep.
No abstract available

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Figures

Figure 2.
Figure 2.
SHAP (Shapley Additive Explanations) framework of top 15 final features for the prediction of hospital mortality. Each dot denotes a SHAP value for a feature in a particular individual. The dot color represents if the feature is present or absent (categorical data) or high versus low (continuous data): blue denotes absent/low and red denotes present/high. The x-axis represents the scale of SHAP values. A positive SHAP value for a particular feature indicates that the feature increases the predicted risk of the outcome, whereas a negative value indicates that the feature reduces the predicted risk of the outcome. The y-axis includes features ordered from top to bottom by their impact on the model prediction based on mean absolute SHAP values. Abbreviations: BUN, blood urea nitrogen; EXP, exposure; FiO2, highest fraction of inspired O2, ICU, intensive care unit; KDIGO, Kidney Disease: Improving Global Outcomes; Non-EXP, nonexposure; UKY, University of Kentucky; UTSW, University of Texas Southwestern.
Figure 4.
Figure 4.
SHAP (Shapley Additive Explanations) framework of top 14 final features for the prediction of major adverse kidney events. Each dot denotes a SHAP value for a feature in a particular individual. The dot color represents if the feature is present or absent (categorical data) or high versus low (continuous data): blue denotes absent/low and red denotes present/high. The x-axis represents the scale of SHAP values. A positive SHAP value for a particular feature indicates that the feature increases the predicted risk of the outcome, whereas a negative value indicates that the feature reduces the predicted risk of the outcome. The y-axis includes features ordered from top to bottom by their impact on the model prediction based on mean absolute SHAP values. Abbreviations: BUN, blood urea nitrogen; ECMO, extracorporeal membrane oxygenation; EXP, exposure; FiO2, highest fraction of inspired O2, ICU, intensive care unit; KDIGO, Kidney Disease: Improving Global Outcomes; Non-EXP, nonexposure; UKY, University of Kentucky; UTSW, University of Texas Southwestern.
See this image and copyright information in PMC

Erratum for

References

    1. Neyra JA, Ortiz-Soriano V, Liu JL. Prediction of mortality and major adverse kidney events in critically ill patients with acute kidney injury. Am J Kidney Dis 2023;81(1):36–47. doi: 10.1053/j.ajkd.2022.06.004 - DOI - PMC - PubMed

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