Using Artificial Intelligence to Obtain More Evidence? Prediction of Length of Hospitalization in Pediatric Burn Patients

Using Artificial Intelligence to Obtain More Evidence? Prediction of Length of Hospitalization in Pediatric Burn Patients

Background: It is not only important for counseling purposes and for healthcare management. This study investigates the prediction accuracy of an artificial intelligence (AI)-based approach and a linear model. The heuristic expecting 1 day of stay per percentage of total body surface area (TBSA) ser...

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Bibliographic Details
Main Authors: Julia Elrod, Christoph Mohr, Ruben Wolff, Michael Boettcher, Konrad Reinshagen, Pia Bartels, German Burn Registry, Ingo Koenigs
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Pediatrics
Subjects:
artificial intelligence
burns
length of hospitalization
prediction
accuracy
paediatric
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2020.613736/full

Internet

https://www.frontiersin.org/articles/10.3389/fped.2020.613736/full

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