A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study
BackgroundAcute kidney injury (AKI) represents a significant global health challenge, leading to increased patient distress and financial health care burdens. The development of AKI in intensive care unit (ICU) settings is linked to prolonged ICU stays, a heightened risk of l...
Main Authors: | Inger Persson, Adam Grünwald, Ludivine Morvan, David Becedas, Martin Arlbrandt |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2023-12-01
|
Series: | JMIR Formative Research |
Online Access: | https://formative.jmir.org/2023/1/e45979 |
Similar Items
-
A Machine Learning Sepsis Prediction Algorithm for Intended Intensive Care Unit Use (NAVOY Sepsis): Proof-of-Concept Study
by: Inger Persson, et al.
Published: (2021-09-01) -
Acute Kidney Injury in the Intensive Care Unit
by: Petar Kes, et al.
Published: (2010-04-01) -
Acute Kidney Injury in the Intensive Care Unit According to the RIFLE
by: Azime BULUT, et al.
Published: (2023-12-01) -
Acute Kidney Injury In Children Admitted In Pediatric Intensive Care Unit
by: Aly ELkazaz, et al.
Published: (2022-07-01) -
Acute kidney injury in children with cancer admitted in an intensive care unit
by: Jáder Pereira Almeida, et al.
Published: (2022-10-01)