Classification of primary angle closure spectrum with hierarchical cluster analysis

PURPOSE: To classify subjects with primary angle closure into clusters based on features from anterior segment optical coherence tomography (ASOCT) imaging and to explore how these clusters correspond to disease subtypes, including primary angle closure suspect (PACS), primary angle closure glaucoma...

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Detalles Bibliográficos
Autores principales: Moghimi, Sasan, Torkashvand, Ali, Mohammadi, Massood, Yaseri, Mehdi, Saunders, Luke J., Lin, Shan C., Weinreb, Robert N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6056027/
https://www.ncbi.nlm.nih.gov/pubmed/30036362
http://dx.doi.org/10.1371/journal.pone.0199157

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6056027/
https://www.ncbi.nlm.nih.gov/pubmed/30036362
http://dx.doi.org/10.1371/journal.pone.0199157

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