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An Empirical Study on KDIGO-Defined Acute Kidney Injury Prediction in the Intensive Care Unit

2024-02-03

Abstract excerpt

<h4>Motivation</h4> Acute kidney injury (AKI) is a syndrome that affects a large fraction of all critically ill patients, and early diagnosis to receive adequate treatment is as imperative as it is challenging to make early. Consequently, machine learning approaches have been developed to predict AKI ahead of time. However, the prevalence of AKI is often underestimated in state-of-the-art approaches, as they rely...

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Literature Corpus work
0a741e63-77ef-5d83-836a-505538fb0750
DOI
10.1101/2024.02.01.24302063
Open publication

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An Empirical Study on KDIGO-Defined Acute Kidney Injury Prediction in the Intensive Care UnitDOI 10.1101/2024.02.01.24302063
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