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A neural network approach to predict early neonatal sepsis

dc.contributor.authorLópez Martínez, F.
dc.contributor.authorNúñez Valdéz, Edward Rolando 
dc.contributor.authorLorduy Gómez, J.
dc.contributor.authorGarcía Díaz, Vicente 
dc.date.accessioned2019-08-21T07:34:15Z
dc.date.available2019-08-21T07:34:15Z
dc.date.issued2019
dc.identifier.citationComputers and Electrical Engineering, 76, p. 379-388 (2019); doi:10.1016/j.compeleceng.2019.04.015
dc.identifier.issn0045-7906
dc.identifier.urihttp://hdl.handle.net/10651/52291
dc.format.extentp. 379-388
dc.language.isoeng
dc.relation.ispartofComputers and Electrical Engineering, 76
dc.rights© 2019 Elsevier
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85064545521&doi=10.1016%2fj.compeleceng.2019.04.015&partnerID=40&md5=6c34ea53dc359c62ff5c3a66aba7201b
dc.titleA neural network approach to predict early neonatal sepsis
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.compeleceng.2019.04.015
dc.type.dcmitext
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.compeleceng.2019.04.015


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