A machine learning approach to predict the glaucoma filtration surgery outcome

This study aimed at predicting the filtration surgery (FS) outcome using a machine learning (ML) approach. 102 glaucomatous patients undergoing FS were enrolled and underwent ocular surface clinical tests (OSCTs), determination of surgical site-related biometric parameters (SSPs) and conjunctival va...

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Detalles Bibliográficos
Autores principales: Agnifili, Luca, Figus, Michele, Porreca, Annamaria, Brescia, Lorenza, Sacchi, Matteo, Covello, Giuseppe, Posarelli, Chiara, Di Nicola, Marta, Mastropasqua, Rodolfo, Nucci, Paolo, Mastropasqua, Leonardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598019/
https://www.ncbi.nlm.nih.gov/pubmed/37875579
http://dx.doi.org/10.1038/s41598-023-44659-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598019/
https://www.ncbi.nlm.nih.gov/pubmed/37875579
http://dx.doi.org/10.1038/s41598-023-44659-6

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