Decision tree induction to prediction of prognosis in severe traumatic brain injury of Brazilian patients from Florianopolis city

The data mining consists in identification of characteristics and relationships between data, aiming the transformation of these into useful knowledge. The obtainment of knowledge occurs trough tasks, methods and algorithms that have specific purposes, and that are applied according to the goals of analysis. The analysis showed in this article consists in application of data mining by task of classification by the method of decision tree induction by the C4.5 algorithm for the prediction of prognosis in severe traumatic brain injury. The traumatic brain injury is a public health problem, constituting in one of the main causes of morbidity and mortality. In the development were performed the steps of preprocessing, the application of data mining and the evaluation of generated model, obtaining the accuracy of 87%.