Evaluation of machine learning algorithms for trabeculectomy outcome prediction in patients with glaucoma

The purpose of this study was to evaluate the performance of machine learning algorithms to predict trabeculectomy surgical outcomes. Preoperative systemic, demographic and ocular data from consecutive trabeculectomy surgeries from a single academic institution between January 2014 and December 2018...

Descripción completa

Detalles Bibliográficos
Autores principales: Banna, Hasan Ul, Zanabli, Ahmed, McMillan, Brian, Lehmann, Maria, Gupta, Sumeet, Gerbo, Michael, Palko, Joel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847459/
https://www.ncbi.nlm.nih.gov/pubmed/35169235
http://dx.doi.org/10.1038/s41598-022-06438-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847459/
https://www.ncbi.nlm.nih.gov/pubmed/35169235
http://dx.doi.org/10.1038/s41598-022-06438-7

Ejemplares similares