The Analysis of Head Injury Data Using Decision Tree Techniques

Authors:
A. McQuatt;P. J. D. Andrews;Derek H. Sleeman;Vincent Corruble;P. A. Jones
Affiliations:
-;-;-;-;-
Venue:
AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Year:
1999

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Abstract

Predicting the outcome of seriously ill patients is a challenging problem for clinicians. One alternative to clinical trials is to analyse existing patient data in an attempt to predict the several outcomes, and to suggest therapies. In this paper we use decision tree techniques to predict the outcome of head injury patients. The work is based on patient data from the Edinburgh Royal Infirmary which contains both background (demographic) data and temporal (physiological) data.