Intracranial Densitometry-Augmented Machine Learning Enhances the Prognostic Value of Brain CT in Pediatric Patients With Traumatic Brain Injury: A Retrospective Pilot Study

Background: The inter- and intrarater variability of conventional computed tomography (CT) classification systems for evaluating the extent of ischemic-edematous insult following traumatic brain injury (TBI) may hinder the robustness of TBI prognostic models. Objective: This study aimed to employ fu...

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Detalles Bibliográficos
Autores principales: Kim, Young-Tak, Kim, Hakseung, Lee, Choel-Hui, Yoon, Byung C., Kim, Jung Bin, Choi, Young Hun, Cho, Won-Sang, Oh, Byung-Mo, Kim, Dong-Joo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Pediatrics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8593245/
https://www.ncbi.nlm.nih.gov/pubmed/34796154
http://dx.doi.org/10.3389/fped.2021.750272

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8593245/
https://www.ncbi.nlm.nih.gov/pubmed/34796154
http://dx.doi.org/10.3389/fped.2021.750272

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