The analysis of head injury data using decision tree techniques

被引：0
|
作者：
McQuatt, A [1 ]
Andrews, PJD
Sleeman, D
Corruble, V
Jones, PA
机构：
[1] Univ Aberdeen, Dept Comp Sci, Aberdeen AB24 3UE, Scotland
[2] Western Gen Hosp, Dept Clin Neurosci, Edinburgh EH4 2XU, Midlothian, Scotland
来源：
ARTIFICIAL INTELLIGENCE IN MEDICINE | 1999年 / 1620卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 (physioiogical) data.
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收藏
页码：336 / 345
页数：10
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