Practical approach for disease similarity calculation based on disease phenotype, etiology, and locational clues in disease names

Mai Omura, N. Sonehara, T. Okumura
{"title":"Practical approach for disease similarity calculation based on disease phenotype, etiology, and locational clues in disease names","authors":"Mai Omura, N. Sonehara, T. Okumura","doi":"10.1109/BIBM.2016.7822659","DOIUrl":null,"url":null,"abstract":"Disease similarity is a useful measure to improve clinical decision support systems wherein it allows continuous presentation of similar diseases. In a previous study, we demonstrated that etiological and symptomatic information of diseases provide a reasonable approximation for the similarity of diseases. This study extends the previously proposed approach by incorporating the locational information of diseases, which may improve the performance against the baseline achieved only by the etiological and symptomatic features.","PeriodicalId":345384,"journal":{"name":"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBM.2016.7822659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Disease similarity is a useful measure to improve clinical decision support systems wherein it allows continuous presentation of similar diseases. In a previous study, we demonstrated that etiological and symptomatic information of diseases provide a reasonable approximation for the similarity of diseases. This study extends the previously proposed approach by incorporating the locational information of diseases, which may improve the performance against the baseline achieved only by the etiological and symptomatic features.
基于疾病表型,病因学和疾病名称中的位置线索的疾病相似度计算的实用方法
疾病相似性是改善临床决策支持系统的有用措施,其中它允许连续呈现类似疾病。在之前的研究中,我们证明了疾病的病因学和症状信息为疾病的相似性提供了合理的近似。本研究通过纳入疾病的位置信息来扩展先前提出的方法,这可能会提高仅通过病因和症状特征实现的基线的性能。
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信