Ignorance Isn't Bliss: We Must Close the Machine Learning Knowledge Gap in Pediatric Critical Care

Ignorance Isn't Bliss: We Must Close the Machine Learning Knowledge Gap in Pediatric Critical Care

Pediatric intensivists are bombarded with more patient data than ever before. Integration and interpretation of data from patient monitors and the electronic health record (EHR) can be cognitively expensive in a manner that results in delayed or suboptimal medical decision making and patient harm. M...

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Bibliographic Details
Main Authors: Daniel Ehrmann, Vinyas Harish, Felipe Morgado, Laura Rosella, Alistair Johnson, Briseida Mema, Mjaye Mazwi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Pediatrics
Subjects:
artificial intelligence
machine learning
pediatric critical care medicine
medical education
learning curricula
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2022.864755/full

Internet

https://www.frontiersin.org/articles/10.3389/fped.2022.864755/full

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