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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

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