Decision trees: an overview and their use in medicine.
Decision trees: an overview and their use in medicine.
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DOI：
10.1023/a:1016409317640
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发表时间：
2002-10-01
影响因子：
5.3
通讯作者：
Rozman, Ivan
中科院分区：
文献类型：
--
作者：
Podgorelec, Vili;Kokol, Peter;Rozman, Ivan
在医疗决策（分类，诊断等）在许多情况下，必须有效和可靠地作出决定。具有自动学习可能性的概念简单决策模型最适合执行此类任务。决策树是一种可靠而有效的决策技术，它提供了高的分类精度和简单的表示所收集的知识，它们已被用于医疗决策的不同领域。在本文中，我们提出了决策树的基本特征和成功的替代传统的归纳方法，重点是现有的和未来可能的应用在医学上。
In medical decision making (classification, diagnosing, etc.) there are many situations where decision must be made effectively and reliably. Conceptual simple decision making models with the possibility of automatic learning are the most appropriate for performing such tasks. Decision trees are a reliable and effective decision making technique that provide high classification accuracy with a simple representation of gathered knowledge and they have been used in different areas of medical decision making. In the paper we present the basic characteristics of decision trees and the successful alternatives to the traditional induction approach with the emphasis on existing and possible future applications in medicine.