Maturity Assessment of Wikipedia Medical Articles

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI:10.1109/CBMS.2014.69

Riccardo Conti, Emanuel Marzini, A. Spognardi, I. Matteucci, P. Mori, M. Petrocchi

{"title":"Maturity Assessment of Wikipedia Medical Articles","authors":"Riccardo Conti, Emanuel Marzini, A. Spognardi, I. Matteucci, P. Mori, M. Petrocchi","doi":"10.1109/CBMS.2014.69","DOIUrl":null,"url":null,"abstract":"Recent studies report that Internet users are growingly looking for health information through the Wikipedia Medicine Portal, a collaboratively edited multitude of articles with contents often comparable with professionally edited material. Automatic quality assessment of the Wikipedia medical articles has not received much attention by Academia and it presents open distinctive challenges. In this paper, we propose to tag the medical articles on the Wikipedia Medicine Portal, clearly stating their maturity degree, intended as a summarizing measure of several article properties. For this purpose, we adopt the Analytic Hierarchy Process, a well known methodology for decision making, and we evaluate the maturity degree of more than 24000 Wikipedia medical articles. The obtained results show how the qualitative analysis of medical content not always overlap with a quantitative analysis (an example of which is shown in the paper), since important properties of an article can hardly be synthesized by quantitative features. This seems particularly true when the analysis considers the concept of maturity, defined and verified in this work.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.2014.69","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 9

Abstract

Recent studies report that Internet users are growingly looking for health information through the Wikipedia Medicine Portal, a collaboratively edited multitude of articles with contents often comparable with professionally edited material. Automatic quality assessment of the Wikipedia medical articles has not received much attention by Academia and it presents open distinctive challenges. In this paper, we propose to tag the medical articles on the Wikipedia Medicine Portal, clearly stating their maturity degree, intended as a summarizing measure of several article properties. For this purpose, we adopt the Analytic Hierarchy Process, a well known methodology for decision making, and we evaluate the maturity degree of more than 24000 Wikipedia medical articles. The obtained results show how the qualitative analysis of medical content not always overlap with a quantitative analysis (an example of which is shown in the paper), since important properties of an article can hardly be synthesized by quantitative features. This seems particularly true when the analysis considers the concept of maturity, defined and verified in this work.

查看原文本刊更多论文

维基百科医学文章的成熟度评估

最近的研究报告称，互联网用户越来越多地通过维基百科医学门户网站寻找健康信息，维基百科医学门户网站是一个协作编辑的大量文章，其内容通常与专业编辑的材料相当。维基百科医学文章的自动质量评估尚未受到学术界的重视，它提出了开放的独特挑战。在本文中，我们建议对维基百科医学门户网站上的医学文章进行标记，清楚地说明它们的成熟度，旨在作为几种文章属性的汇总度量。为此，我们采用了层次分析法，这是一种众所周知的决策方法，我们评估了24000多篇维基百科医学文章的成熟度。所获得的结果表明，医学内容的定性分析并不总是与定量分析重叠(本文给出了一个例子)，因为一篇文章的重要性质很难通过定量特征来综合。当分析考虑在本工作中定义和验证的成熟度概念时，这似乎尤其正确。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2014 IEEE 27th International Symposium on Computer-Based Medical Systems

自引率

0.00%

发文量