2023
DOI: 10.2196/preprints.47693
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Development and Verification of a Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network (Preprint)

Abstract: BACKGROUND Acute kidney injury (AKI) is a marker of clinical deterioration and renal toxicity. While there are many studies offering prediction models for the early detection of AKI, those predicting AKI occurrence using distributed research network (DRN)-based time series data are rare. OBJECTIVE In this study, we aimed to detect the early occurrence of AKI by applying the interpretable LSTM-… Show more

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