Use of a support vector machine for categorizing free-text notes: assessment of accuracy across two institutions

机译：使用支持向量机对自由文本注释进行分类：评估两个机构的准确性

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摘要

BackgroundElectronic health record (EHR) users must regularly review large amounts of data in order to make informed clinical decisions, and such review is time-consuming and often overwhelming. Technologies like automated summarization tools, EHR search engines and natural language processing have been shown to help clinicians manage this information.

机译：背景电子健康记录（EHR）用户必须定期检查大量数据才能做出明智的临床决策，而这种检查既费时，又常常使人不胜其烦。诸如自动摘要工具，EHR搜索引擎和自然语言处理之类的技术已显示出可帮助临床医生管理此信息。

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期刊名称 Journal of the American Medical Informatics Association : JAMIA
作者
Adam Wright; Allison B McCoy; Stanislav Henkin; Abhivyakti Kale; Dean F Sittig;
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作者单位

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年(卷),期 2013(20),5
年度 2013
页码 887–890
总页数 4
原文格式 PDF
正文语种
中图分类
关键词
electronic health record support vector machine natural language processing search;

机译：电子病历;支持向量机;自然语言处理;搜索;

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1. Use of a support vector machine for categorizing free-text notes: Assessment of accuracy across two institutions [J] . WrightA., McCoyA.B., HenkinS., Journal of the American Medical Informatics Association : . 2013,第5期

机译：使用支持向量机对自由文本注释进行分类：评估两个机构的准确性
2. Accuracy Assessment of Land Use Classification Using Support Vector Machine and Neural Network for Coal Mining Area of Hegang City, China [J] . Lei Wang, Yunna Jia, Yunlong Yao, Nature environment and pollution technology . 2019,第1期

机译：基于支持向量机和神经网络的鹤岗市矿区土地利用分类准确性评价。
3. Afaan Oromo News Text Categorization using Decision Tree Classifier and Support Vector Machine: A Machine Learning Approach [J] . Kamal Mohammed Jimalo, Ramesh Babu P, Yaregal Assabie International Journal of Computer Trends and Technology . 2017,第1期

机译：使用决策树分类器和支持向量机的Afaan Oromo新闻文本分类：一种机器学习方法
4. Automatic Assessment of Students' Free-Text Answers with Support Vector Machines [C] . Wen-Juan Hou, Jia-Hao Tsao, Sheng-Yang Li, IEA/AIE 2010;International conference on industrial engineering and other applications of applied intelligent systems . 2010

机译：支持向量机自动评估学生的自由文本答案
5. A new feature selection method based on support vector machines for text categorization. [D] . Xu, Yaquan. 2006

机译：一种基于支持向量机的文本分类新特征选择方法。
6. nifPred: Proteome-Wide Identification and Categorization of Nitrogen-Fixation Proteins of Diaztrophs Based on Composition-Transition-Distribution Features Using Support Vector Machine [O] . Prabina K. Meher, Tanmaya K. Sahu, Jyotilipsa Mohanty, -1

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Use of a support vector machine for categorizing free-text notes: assessment of accuracy across two institutions

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