Data analysis of patients with severe head injury
This chapter presents an application of decision tree induction
to the problem of the prediction
of outcome after a severe head injury.
The study shows that induced decision trees are useful for the analysis
of the importance of clinical parameters and of their combinations for
the evaluation of the severity of brain injury and for outcome prediction.
Due to a small number of patient data available for this study the induced
decision trees \inxx{decision tree}
cannot yet be considered as a reliable prognostic tool.
Nevertheless, meaningful regularities have been discovered that help
in the analysis of this difficult prognostic task.