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Authors
Cartes, C.
López, D.
Salinas, D.
Segovia, C.
Ahumada, C.
Pérez, N.
Valenzuela, F.
Lanza, N.
López Solís, R.O.
Perez, V.L.
Zegers, P.
Fuentes, A.
Alarcón, C.
Traipe, L.
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Funding
Funding for this research was provided by:
Comisión Nacional de Investigación Científica y Tecnológica (CONICYT)-Chile (1151005)
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This article is maintained by: Elsevier
Article Title: Dry eye is matched by increased intrasubject variability in tear osmolarity as confirmed by machine learning approach
Journal Title: Archivos de la Sociedad Española de Oftalmología (English Edition)
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.oftale.2019.03.002
CrossRef DOI link to the associated document: https://doi.org/10.1016/j.oftal.2019.03.007
Content Type: article
Copyright: © 2019 Sociedad Española de Oftalmología. Published by Elsevier España, S.L.U. All rights reserved.
