Explainable Machine Learning Model for Glaucoma Diagnosis and Its Interpretation

The aim is to develop a machine learning prediction model for the diagnosis of glaucoma and an explanation system for a specific prediction. Clinical data of the patients based on a visual field test, a retinal nerve fiber layer optical coherence tomography (RNFL OCT) test, a general examination inc...

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Detalles Bibliográficos
Autores principales: Oh, Sejong, Park, Yuli, Cho, Kyong Jin, Kim, Seong Jae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001225/
https://www.ncbi.nlm.nih.gov/pubmed/33805685
http://dx.doi.org/10.3390/diagnostics11030510

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001225/
https://www.ncbi.nlm.nih.gov/pubmed/33805685
http://dx.doi.org/10.3390/diagnostics11030510

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