Impact of Precision in Staging Acute Kidney Injury and Chronic Kidney Disease on Treatment Outcomes: An Observational Study

Impact of Precision in Staging Acute Kidney Injury and Chronic Kidney Disease on Treatment Outcomes: An Observational Study

(1) Background: “Kidney Disease: Improving Global Outcomes” (KDIGO) provides guidelines for identifying the stages of acute kidney injury (AKI) and chronic kidney disease (CKD). A data-driven rule-based engine was developed to determine KDIGO staging compared to KD-related keywords in discharge lett...

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Bibliographic Details
Main Authors: Olga Endrich, Christos T. Nakas, Karen Triep, Georg M. Fiedler, Jaime J. Caro, Alistair McGuire
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Diagnostics
Subjects:
data-driven diagnosis
electronic health records
digital markers
rule engine
precision medicine
real-world data
Online Access:https://www.mdpi.com/2075-4418/14/22/2476
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