56 Using machine learning to predict 30-day readmission and reoperation following resection of supratentorial high-grade gliomas: A national analysis of 9,418 patients.

OBJECTIVES/GOALS: High-grade gliomas (HGG) are among the rarest, most aggressive tumors in neurosurgical practice. We aimed to identify the clinical predictors for 30-day readmission and reoperation following HGGs surgery using the NSQIP database and seek to create web-based applications predicting...

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Detalles Bibliográficos
Autores principales: Ghaith, Abdul Karim, Ghanem, Marc, Zamanian, Cameron, Bon Nieves, Antonio A., Bhandarkar, Archis, Nathani, Karim, Bydon, Mohamad, Quiones-Hinojosa, Alfredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Biostatistics, Epidemiology, and Research Design
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129800/
http://dx.doi.org/10.1017/cts.2023.144

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129800/
http://dx.doi.org/10.1017/cts.2023.144

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