Although it would be advantageous to predict AKI events as early as possible, lengthening the prediction time to event horizon will reduce accuracy and the ...
Apr 16, 2018 · This study builds machine learning models to predict hospital-acquired AKI over different time horizons using EMR data.
Jul 9, 2021 · The study objectives are to assess (1) whether early AKI prediction is possible; (2) whether information prior to admission improves prediction; ...
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Oct 26, 2020 · We therefore developed a recurrent neural network (RNN) that allows real-time predictions of AKI within the first 7 postoperative days following ...
Oct 16, 2024 · Early detection and prediction of AKI can improve patient outcomes through timely interventions. This review was conducted as a narrative ...
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May 15, 2023 · This systematic review and meta-analysis evaluates published acute kidney injury prediction models across all clinical subsettings.
Jul 31, 2019 · Our model predicts 55.8% of all inpatient episodes of acute kidney injury, and 90.2% of all acute kidney injuries that required subsequent ...
Aug 2, 2022 · We assess and critically appraise the state of the art in ML models for AKI prediction, considering performance, methodological soundness, and applicability.
Dec 24, 2021 · Conclusions: We generated an accurate algorithm from electronic health records through machine learning that predicted AKI by a lead time of at ...
Early prediction of AKI for older inpatients is therefore crucial. Methods: We use 80 different laboratory tests from the electronic health records and two ...