The State of Machine Learning in Outcomes Prediction of Transsphenoidal Surgery: A Systematic Review

The purpose of this analysis is to assess the use of machine learning (ML) algorithms in the prediction of postoperative outcomes, including complications, recurrence, and death in transsphenoidal surgery. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelin...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Darrion B., Smith, Alexander D., Smith, Emily J., Naik, Anant, Janbahan, Mika, Thompson, Charee M., Varshney, Lav R., Hassaneen, Wael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10581827/
https://www.ncbi.nlm.nih.gov/pubmed/37854535
http://dx.doi.org/10.1055/a-1941-3618

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10581827/
https://www.ncbi.nlm.nih.gov/pubmed/37854535
http://dx.doi.org/10.1055/a-1941-3618

Ejemplares similares