Development of a neural network model for early detection of creatinine change in critically Ill children

Development of a neural network model for early detection of creatinine change in critically Ill children

IntroductionRenal dysfunction is common in critically ill children and increases morbidity and mortality risk. Diagnosis and management of renal dysfunction relies on creatinine, a delayed marker of renal injury. We aimed to develop and validate a machine learning model using routinely collected cli...

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Bibliographic Details
Main Authors: Celeste G. Dixon, Eduardo A. Trujillo Rivera, Anita K. Patel, Murray M. Pollack
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Pediatrics
Subjects:
acute kidney injury
creatinine
pediatric intensive care unit
machine learning
neural network model
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2025.1549836/full
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