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从数据挖掘规则到医学逻辑模块及医学建议。

From data mining rules to medical logical modules and medical advices.

作者信息

Gomoi Valentin, Vida Mihaela, Robu Raul, Stoicu-Tivadar Vasile, Bernad Elena, Lupşe Oana

机构信息

Department of Automation and Applied Informatics, University "Politehnica" of Timişoara, România.

出版信息

Stud Health Technol Inform. 2013;192:1094.

Abstract

Using data mining in collaboration with Clinical Decision Support Systems adds new knowledge as support for medical diagnosis. The current work presents a tool which translates data mining rules supporting generation of medical advices to Arden Syntax formalism. The developed system was tested with data related to 2326 births that took place in 2010 at the Bega Obstetrics - Gynaecology Hospital, Timişoara. Based on processing these data, 14 medical rules regarding the Apgar score were generated and then translated in Arden Syntax language.

摘要

将数据挖掘与临床决策支持系统相结合可为医学诊断提供新知识支持。当前的工作展示了一种工具,该工具可将支持生成医学建议的数据挖掘规则转换为Arden语法形式。所开发的系统使用了2010年在蒂米什瓦拉的贝加妇产科医院发生的2326例分娩相关数据进行测试。基于这些数据的处理,生成了14条关于阿普加评分的医学规则,然后将其翻译成Arden语法语言。

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