A hybrid algorithm for the prediction of computer vision syndrome in health personnel based on trees and evolutionary algorithms

dc.contributor.author	Artime Ríos, Eva María
dc.contributor.author	Sánchez Lasheras, Fernando
dc.contributor.author	Suárez Sánchez, Ana
dc.contributor.author	Iglesias Rodríguez, Francisco Javier
dc.contributor.author	Seguí Crespo, M. M.
dc.date.accessioned	2018-11-27T08:03:22Z
dc.date.available	2018-11-27T08:03:22Z
dc.date.issued	2018
dc.identifier.isbn	9783319926384
dc.identifier.issn	0302-9743
dc.identifier.uri	http://hdl.handle.net/10651/49221
dc.format.extent	p. 597-608
dc.language.iso	eng
dc.relation.ispartof	Hybrid Artificial Intelligent Systems. HAIS 2018
dc.relation.ispartofseries	Lecture Notes in Computer Science; 10870
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048868593&doi=10.1007%2f978-3-319-92639-1_50&partnerID=40&md5=cac879099b021b035ee64eacc5f52031
dc.title	A hybrid algorithm for the prediction of computer vision syndrome in health personnel based on trees and evolutionary algorithms	eng
dc.type	conference output	spa
dc.identifier.doi	10.1007/978-3-319-92639-1_50
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-319-92639-1_50

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