Traffic accident in Cuiabá-MT: an analysis through the data mining technology.
The traffic road accidents (ATT) are non-intentional events with an important magnitude worldwide, mainly in the urban centers. This article aims to analyzes data related to the victims of ATT recorded by the Justice Secretariat and Public Security (SEJUSP) in hospital morbidity and mortality incidence at the city of Cuiabá-MT during 2006, using data mining technology. An observational, retrospective and exploratory study of the secondary data bases was carried out. The three database selected were related using the probabilistic method, through the free software RecLink. One hundred and thirty-nine (139) real pairs of victims of ATT were obtained. In this related database the data mining technology was applied with the software WEKA using the Apriori algorithm. The result generated 10 best rules, six of them were considered according to the parameters established that indicated a useful and comprehensible knowledge to characterize the victims of accidents in Cuiabá. Finally, the findings of the associative rules showed peculiarities of the road traffic accident victims in Cuiabá and highlight the need of prevention measures in the collision accidents for males.
Galvão
Noemi Dreyer
ND
Federal University of Mato Grosso-UFMT, Technician of the Health State Secretariat of Mato Grosso-MT, Brazil. noemidgalvao.mt@terra.com.br
de Fátima Marin
Heimar
H
D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D001938:Brazil / Q000453:epidemiology; D057225:Data Mining / Q000379:methods*; D003628:Database Management Systems; D016208:Databases, Factual; D004632:Emergency Medical Services / Q000706:statistics & numerical data*; D040362:Geographic Information Systems; D006115:Greece / Q000453:epidemiology