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

Development and Evaluation of Research Methods, Instruments and Tools (744) Clinical Informatics (1325) Clinical Information and Decision Making (1915) Decision Support for Health Professionals (1539) Machine Learning (2076) Artificial Intelligence (2129) E-Health / Health Services Research and New Models of Care (718) Nephrology/Renal Disorders (99)

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
Article Authors Cited by (5) Tweetations (2) Metrics

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  2. Hassoon A, Al-Naji A, Khalid G, Chahl J. Tongue Disease Prediction Based on Machine Learning Algorithms. Technologies 2024;12(7):97 View
  3. Alghamdi H. Proactive healthcare: machine learning-driven insights into kidney failure prediction. Journal of Umm Al-Qura University for Engineering and Architecture 2025;16(2):454 View
  4. Shi T, Lin Y, Zhao H, Kong G. Artificial intelligence models for predicting acute kidney injury in the intensive care unit: a systematic review of modeling methods, data utilization, and clinical applicability. JAMIA Open 2025;8(4) View

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