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使用C4.5机器学习算法测试基于临床指南的决策支持系统。

Use of the C4.5 machine learning algorithm to test a clinical guideline-based decision support system.

作者信息

Lamy Jean-Baptiste, Ellini Anis, Ebrahiminia Vahid, Zucker Jean-Daniel, Falcoff Hector, Venot Alain

机构信息

Laboratoire d'Informatique Médicale et de Bio-informatique (LIM&BIO), UFR SMBH, Université Paris 13, Bobigny, France.

出版信息

Stud Health Technol Inform. 2008;136:223-8.

PMID:18487735
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3885810/
Abstract

Well-designed medical decision support system (DSS) have been shown to improve health care quality. However, before they can be used in real clinical situations, these systems must be extensively tested, to ensure that they conform to the clinical guidelines (CG) on which they are based. Existing methods cannot be used for the systematic testing of all possible test cases. We describe here a new exhaustive dynamic verification method. In this method, the DSS is considered to be a black box, and the Quinlan C4.5 algorithm is used to build a decision tree from an exhaustive set of DSS input vectors and outputs. This method was successfully used for the testing of a medical DSS relating to chronic diseases: the ASTI critiquing module for type 2 diabetes.

摘要

设计良好的医学决策支持系统（DSS）已被证明能提高医疗质量。然而，在将这些系统应用于实际临床情况之前，必须对其进行广泛测试，以确保它们符合其所基于的临床指南（CG）。现有方法无法用于对所有可能的测试用例进行系统测试。我们在此描述一种新的穷举动态验证方法。在这种方法中，DSS被视为一个黑箱，并且使用昆兰C4.5算法从一组详尽的DSS输入向量和输出构建决策树。该方法已成功用于测试一个与慢性病相关的医学DSS：2型糖尿病的ASTI评估模块。

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本文引用的文献

1
Textual guidelines versus computable guidelines: a comparative study in the framework of the PRESGUID project in order to appreciate the impact of guideline format on physician compliance.文本指南与可计算指南：在PRESGUID项目框架内的一项比较研究，以评估指南格式对医生依从性的影响。
AMIA Annu Symp Proc. 2006;2006:219-23.
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Design of a decision support system for chronic diseases coupling generic therapeutic algorithms with guideline-based specific rules.一种用于慢性病的决策支持系统的设计，该系统将通用治疗算法与基于指南的特定规则相结合。
Stud Health Technol Inform. 2006;124:483-8.
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Representing the Patient's Therapeutic History in Medical Records and in Guideline Recommendations for Chronic Diseases Using a Unique Model.
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Lancet. 1993 Nov 27;342(8883):1317-22. doi: 10.1016/0140-6736(93)92244-n.
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Validating the knowledge base of a therapy planning system.验证治疗计划系统的知识库。
Methods Inf Med. 1989 Jan;28(1):36-50.