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利用GATE的XML配置文件实现病历短语抽取的机器学习方法

倪晓华

中国医疗设备2017,Vol.32Issue(7):124-125,133,3.
中国医疗设备2017,Vol.32Issue(7):124-125,133,3.DOI:10.3969/j.issn.1674-1633.2017.07.034

利用GATE的XML配置文件实现病历短语抽取的机器学习方法

Machine Learning Method to Realize Medical Record Phrase Extraction via Using the XML Configuration File of the GATE

倪晓华1

作者信息

  • 1. 南京医科大学第二附属医院 信息科,江苏 南京 210011
  • 折叠

摘要

Abstract

Based on XML configuration files of general architecture for text engineering, we specified characteristics and learning algorithm of the documents, and realized machine learning of text records phrase extraction. The result was that computer could automatically obtain the phrases that doctor required from the long course information quickly. This learning algorithm has good practicability and meets the expected demand.

关键词

电子病历/机器学习/通用框架软件/支持向量机

Key words

electronic medical record/machine learning/general architecture for text engineering/support vector machine

分类

信息技术与安全科学

引用本文复制引用

倪晓华..利用GATE的XML配置文件实现病历短语抽取的机器学习方法[J].中国医疗设备,2017,32(7):124-125,133,3.

中国医疗设备

OACSTPCD

1674-1633

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