Development and validation of a prehospital-stage prediction tool for traumatic brain injury: a multicentre retrospective cohort study in Korea

OBJECTIVES: Predicting diagnosis and prognosis of traumatic brain injury (TBI) at the prehospital stage is challenging; however, using comprehensive prehospital information and machine learning may improve the performance of the predictive model. We developed and tested predictive models for TBI tha...

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Detalles Bibliográficos
Autores principales: Choi, Yeongho, Park, Jeong Ho, Hong, Ki Jeong, Ro, Young Sun, Song, Kyoung Jun, Shin, Sang Do
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Emergency Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756263/
https://www.ncbi.nlm.nih.gov/pubmed/35022177
http://dx.doi.org/10.1136/bmjopen-2021-055918

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756263/
https://www.ncbi.nlm.nih.gov/pubmed/35022177
http://dx.doi.org/10.1136/bmjopen-2021-055918

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