This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (632) Clinical Informatics (1162) Clinical Information and Decision Making (1655) Decision Support for Health Professionals (1338) Machine Learning (1736) Artificial Intelligence (1738) E-Health / Health Services Research and New Models of Care (611) Nephrology/Renal Disorders (82)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45979, first published .
A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study

A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study

A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study

Authors of this article:

Inger Persson1, 2 Author Orcid Image ;   Adam Grünwald2 Author Orcid Image ;   Ludivine Morvan2 Author Orcid Image ;   David Becedas2 Author Orcid Image ;   Martin Arlbrandt3 Author Orcid Image
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JMIR Formative Res: A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study https://t.co/CaUHwamhxs https://t.co/2RrKHH4vmS

1:53 PM · Dec 14, 2023

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RT @jmirpub: JMIR Formative Res: A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute K…

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