Predicting the risk factors of diabetic ketoacidosis-associated acute kidney injury: A machine learning approach using XGBoost
ObjectiveThe purpose of this study was to develop and validate a predictive model based on a machine learning (ML) approach to identify patients with DKA at increased risk of AKI within 1 week of hospitalization in the intensive care unit (ICU).MethodsPatients diagnosed with DKA from the Medical Inf...
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Main Authors: | , , , , , |
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Format: | Book |
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Frontiers Media S.A.,
2023-04-01T00:00:00Z.
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A1234.567 |
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