Algorithm-based detection of acute kidney injury according to full KDIGO criteria including urine output following cardiac surgery: a descriptive analysis

Algorithm-based detection of acute kidney injury according to full KDIGO criteria including urine output following cardiac surgery: a descriptive analysis

Abstract Background Automated data analysis and processing has the potential to assist, improve and guide decision making in medical practice. However, by now it has not yet been fully integrated in a clinical setting. Herein we present the first results of applying algorithm-based detection to the...

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Bibliographic Details
Main Authors: Nico Schmid, Mihnea Ghinescu, Moritz Schanz, Micha Christ, Severin Schricker, Markus Ketteler, Mark Dominik Alscher, Ulrich Franke, Nora Goebel
Format: Article
Language:English
Published: BMC 2023-03-01
Series:BioData Mining
Subjects:
Acute kidney injury
Cardiac surgery
Intensive care
Automated detection
Big data analysis
Algorithm-based detection
Online Access:https://doi.org/10.1186/s13040-023-00323-3

Internet

https://doi.org/10.1186/s13040-023-00323-3

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