Identification of patterns of fatal injuries in humans through big data

dc.creatorSilva, Jesus
dc.creatorZilberman, Jack
dc.creatorRomero Marin, Ligia Cielo
dc.creatorPineda, Omar
dc.creatorHerazo-Beltran, Yaneth
dc.date2021-01-29T14:17:34Z
dc.date2021-01-29T14:17:34Z
dc.date2020
dc.date.accessioned2023-10-03T19:32:42Z
dc.date.available2023-10-03T19:32:42Z
dc.identifierhttps://hdl.handle.net/11323/7798
dc.identifierhttps://doi.org/10.1016/j.procs.2020.03.114
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9170569
dc.descriptionExternal cause injuries are defined as intentionally or unintentionally harm or injury to a person, which may be caused by trauma, poisoning, assault, accidents, etc., being fatal (fatal injury) or not leading to death (non-fatal injury). External injuries have been considered a global health problem for two decades. This work aims to determine criminal patterns using data mining techniques to a sample of patients from Mumbai city in India.
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherCorporación Universidad de la Costa
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dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourceProcedia Computer Science
dc.sourcehttps://www.sciencedirect.com/science/article/pii/S1877050920305524#!
dc.subjectRecognition of automated standards
dc.subjectmining
dc.subjectdecision trees
dc.titleIdentification of patterns of fatal injuries in humans through big data
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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