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

TitleDevelopment of Injuries Prevention Policies in Mexico: A Big Data Approach
Publication TypeJournal Article
Year of Publication2018
AuthorsCroda, R. M. C., and D. E. G. Romero
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueSpecial Issue on Big Data and e-Health
Volume4
Number7
Date Published03/2018
Pagination35-41
Abstract

Considering 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.

KeywordsBig Data, DSS, Learning
DOI10.9781/ijimai.2017.03.005
URLhttp://www.ijimai.org/journal/sites/default/files/files/2017/03/ijimai_4_7_5_pdf_14121.pdf
AttachmentSize
ijimai_4_7_5.pdf493.09 KB