The criticality Index-mortality: A dynamic machine learning prediction algorithm for mortality prediction in children cared for in an ICU

The criticality Index-mortality: A dynamic machine learning prediction algorithm for mortality prediction in children cared for in an ICU

BackgroundThe Criticality Index-Mortality uses physiology, therapy, and intensity of care to compute mortality risk for pediatric ICU patients. If the frequency of mortality risk computations were increased to every 3 h with model performance that could improve the assessment of severity of illness,...

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Bibliographic Details
Main Authors: Anita K Patel, Eduardo Trujillo-Rivera, Hiroki Morizono, Murray M. Pollack
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Pediatrics
Subjects:
prediction algorithm
dynamic outcome prediction
mortality prediction
criticality index
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2022.1023539/full

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https://www.frontiersin.org/articles/10.3389/fped.2022.1023539/full

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