Cargando…
Machine learning‐based models to predict the need for neurosurgical intervention after moderate traumatic brain injury
BACKGROUND AND AIMS: Traumatic brain injury (TBI) is a widespread global health issue with significant economic consequences. However, no existing model exists to predict the need for neurosurgical intervention in moderate TBI patients with positive initial computed tomography scans. This study dete...
Autores principales: | Habibzadeh, Adrina, Khademolhosseini, Sepehr, Kouhpayeh, Amin, Niakan, Amin, Asadi, Mohammad Ali, Ghasemi, Hadis, Tabrizi, Reza, Taheri, Reza, Khalili, Hossein Ali |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613807/ https://www.ncbi.nlm.nih.gov/pubmed/37908638 http://dx.doi.org/10.1002/hsr2.1666 |
Ejemplares similares
-
Prognosis prediction in traumatic brain injury patients using machine learning algorithms
por: Khalili, Hosseinali, et al.
Publicado: (2023) -
A machine learning model for predicting favorable outcome in severe traumatic brain injury patients after 6 months
por: Nourelahi, Mehdi, et al.
Publicado: (2022) -
Is facial nerve palsy an early manifestation of COVID-19? A literature review
por: Estakhr, Mehrdad, et al.
Publicado: (2022) -
Prevalence of Fungal Drug Resistance in COVID-19 Infection: a Global Meta-analysis
por: Habibzadeh, Adrina, et al.
Publicado: (2022) -
Efflux dynamics of the antiseizure drug, levetiracetam, through the P-glycoprotein channel revealed by advanced comparative molecular simulations
por: Behmard, Esmaeil, et al.
Publicado: (2022)