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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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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Moghimi, Sasan, Torkashvand, Ali, Mohammadi, Massood, Yaseri, Mehdi, Saunders, Luke J., Lin, Shan C., Weinreb, Robert N.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6056027/
https://ncbi.nlm.nih.gov/pubmed/30036362
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0199157
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