Development of Injuries Prevention Policies in Mexico: A Big Data Approach

dc.contributor.authorCantón Croda, Rosa María
dc.contributor.authorGibaja Romero, Damián Emilio
dc.date2018-03
dc.date.accessioned2021-09-27T10:59:26Z
dc.date.available2021-09-27T10:59:26Z
dc.description.abstractConsidering that Mexican injuries prevention strategies have been focused on injuries caused by car accidents and gender violence, a whole analysis of the injuries registered are performed in this paper to have a wider overview of those agents that can cause injuries around the country. Taking into account the amount of information from both public and private sources, obtained from dynamic cubes reported by the Minister of Health, Big Data strategies are used with the objective of finding an appropriate extraction such as to identify the real correlations between the different variables registered by the Health Sector. The results of the analysis show areas of opportunity to improve the public policies on the subject, particularly in diminishing wounds at living place, public road (pedestrians) and work.es_ES
dc.identifier.doihttp://doi.org/10.9781/ijimai.2017.03.005
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/11907
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 4, nº 7
dc.relation.urihttps://www.ijimai.org/journal/bibcite/reference/2617es_ES
dc.rightsopenAccesses_ES
dc.subjectlearninges_ES
dc.subjectDSSes_ES
dc.subjectbig dataes_ES
dc.subjectIJIMAIes_ES
dc.titleDevelopment of Injuries Prevention Policies in Mexico: A Big Data Approaches_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES

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