Development and Validation of an XGBoost-Algorithm-Powered Survival Model for Predicting In-Hospital Mortality Based on 545,388 Isolated Severe Traumatic Brain Injury Patients from the TQIP Database

Background: Traumatic brain injury (TBI) represents a significant global health issue; the traditional tools such as the Glasgow Coma Scale (GCS) and Abbreviated Injury Scale (AIS) which have been used for injury severity grading, struggle to capture outcomes after TBI. Aim and methods: This paper a...

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Detalles Bibliográficos
Autores principales: Cao, Yang, Forssten, Maximilian Peter, Sarani, Babak, Montgomery, Scott, Mohseni, Shahin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533165/
https://www.ncbi.nlm.nih.gov/pubmed/37763168
http://dx.doi.org/10.3390/jpm13091401

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533165/
https://www.ncbi.nlm.nih.gov/pubmed/37763168
http://dx.doi.org/10.3390/jpm13091401

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