Developing Predictive Models to Anticipate Shunt Complications in 33,248 Pediatric Patients with Shunted Hydrocephalus Utilizing Machine Learning

INTRODUCTION: Hydrocephalus is a common pediatric neurosurgical pathology, typically treated with a ventricular shunt, yet approximately 30% of patients experience shunt failure within the first year after surgery. As a result, the objective of the present study was to validate a predictive model of...

Descripción completa

Detalles Bibliográficos
Autores principales: Shahrestani, Shane, Shlobin, Nathan, Gendreau, Julian L., Brown, Nolan J., Himstead, Alexander, Patel, Neal A., Pierzchajlo, Noah, Chakravarti, Sachiv, Lee, Darrin Jason, Chiarelli, Peter A., Bullis, Carli L., Chu, Jason
Formato: Online Artículo Texto
Lenguaje:English
Publicado: S. Karger AG 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614444/
https://www.ncbi.nlm.nih.gov/pubmed/37393891
http://dx.doi.org/10.1159/000531754

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614444/
https://www.ncbi.nlm.nih.gov/pubmed/37393891
http://dx.doi.org/10.1159/000531754

Ejemplares similares