6 Feb 2024 · We developed and compared deep learning and conventional machine learning models to predict progression to Stage 2 or higher AKI within the next 48 hours.
This study confirms that AKI, defined as an increase in serum creatinine level of 0.3 mg/dL or more within 48 hours, predicts clinical outcomes of non- ...
This study externally validated one of the few clinical prediction rules (CPRs) derived in a general medicine cohort using clinical information and data from an ...
Continuous and early prediction of future moderate and severe Acute ...
pubmed.ncbi.nlm.nih.gov › ...
25 Jul 2023 · This study develops a novel machine-learning (ML) model to predict, with several hours in advance, the AKI episodes of stage 2 and 3 (according to KDIGO ...
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18 Oct 2021 · This cohort study externally validates the Simple Postoperative Acute Kidney Injury Risk (SPARK) index for prediction of acute kidney injury ...
4 Jun 2024 · A real-time machine learning model able to accurately predict persistent acute kidney injury (AKI) in the intensive care unit (ICU).
This study aimed to establish and validate an explainable prediction model based on the machine learning (ML) approach for AKI, and assess its prognostic ...
26 Mar 2021 · The objective of our study was to perform an external validation of the MAKIPS as a model to predict HA-AKI in a hospital centre with different ...
Development and external validation of a nomogram for the early prediction of acute kidney injury in septic patients: a multicenter retrospective clinical study.
This study aims to systematically review and critical evaluation of the risk of bias and the applicability of existing prediction models for acute kidney ...