Using machine learning for outcome prediction of patients with severe head injury

  • Authors:

  • I. A. Pilih;D. Mladenic;N. Lavrac;T. S. Prevec

  • Affiliations:

  • -;-;-;-

  • Venue:
  • CBMS '97 Proceedings of the 10th IEEE Symposium on Computer-Based Medical Systems (CBMS '97)
  • Year:
  • 1997

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Abstract

The paper 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.