A Bayesian network coding scheme for annotating biomedical information presented to genetic counseling clients

被引：14

作者：

Green, N ^{[1
]}

机构：

[1] Univ N Carolina, Dept Math Sci, Greensboro, NC 27402 USA

来源：

JOURNAL OF BIOMEDICAL INFORMATICS | 2005年 / 38卷 / 02期

基金：

美国国家科学基金会;

关键词：

content annotation; content analysis; intercoder agreement; Bayesian network; genetic counseling; clinical genetics; patient communication; natural language generation; natural language processing; discourse annotation;

D O I：

10.1016/j.jbi.2004.10.001

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We developed a Bayesian network coding scheme for annotating biomedical content in layperson-oriented clinical genetics documents. The coding scheme supports the representation of probabilistic and causal relationships among concepts in this domain, at a high enough level of abstraction to capture commonalities among genetic processes and their relationship to health. We are using the coding scheme to annotate a corpus of genetic counseling patient letters as part of the requirements analysis and knowledge acquisition phase of a natural language generation project. This paper describes the coding scheme and presents an evaluation of intercoder reliability for its tag set. In addition to giving examples of use of the coding scheme for analysis of discourse and linguistic features in this genre, we suggest other uses for it in analysis of layperson-oriented text and dialogue in medical communication. (c) 2004 Elsevier Inc. All rights reserved.

引用

页码：130 / 144

页数：15

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