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Prediction of computer vision syndrome in health personnel by means of genetic algorithms and binary regression trees

dc.contributor.authorArtime Ríos, Eva María
dc.contributor.authorSánchez Lasheras, Fernando 
dc.contributor.authorSuárez Sánchez, Ana 
dc.contributor.authorIglesias Rodríguez, Francisco Javier 
dc.contributor.authorSeguí Crespo, María del Mar
dc.date.accessioned2019-11-14T10:22:14Z
dc.date.available2019-11-14T10:22:14Z
dc.date.issued2019
dc.identifier.citationSensors (Switzerland), 19(12), p. 19- (2019); doi:10.3390/s19122800
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10651/53258
dc.description.sponsorshipWe would like to express our gratitude to the management and healthcare workers at the two public hospitals of the Health Service of the Principality of Asturias for their willingness to participate in this study. This study was approved by the Research Ethics Committee of the Principality of Asturias, and by the Ethics Committee of the University of Alicante, Spain.
dc.format.extentp. 19-
dc.language.isoeng
dc.relation.ispartofSensors (Switzerland), 19
dc.rights© 2019 by the authors.
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus
dc.source.urihttps://www2.scopus.com/inward/record.uri?eid=2-s2.0-85068758348&doi=10.3390%2fs19122800&partnerID=40&md5=73d62033eb292a4020ffa7c8811ba15b
dc.titlePrediction of computer vision syndrome in health personnel by means of genetic algorithms and binary regression trees
dc.typejournal article
dc.identifier.doi10.3390/s19122800
dc.relation.publisherversionhttp://dx.doi.org/10.3390/s19122800
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


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