基于案例推理的脊柱疾病诊断软件系统

D. Palchunov, G. Yakhyaeva, O. Yasinskaya
{"title":"基于案例推理的脊柱疾病诊断软件系统","authors":"D. Palchunov, G. Yakhyaeva, O. Yasinskaya","doi":"10.1109/SIBIRCON.2015.7361884","DOIUrl":null,"url":null,"abstract":"The paper describes the Diagnostic Panel Software System designed for the “spinal deformity and degenerative diseases of the spine” subject domain. The work is based on the methods of statistical processing of the data obtained from medical documents written in a natural language. The software system based on patient's clinical and laboratory test results helps physicians determine a preliminary diagnosis of the patient and get quick information on the necessity of certain measures for final diagnosis and selection of the optimal treatment strategy. The Diagnostic Panel Software System uses case-based approach for the representation of knowledge extracted from a variety of natural language texts. Developed case-based approach is based on model-theoretic methods of subject domain ontology formalization. For the processing of knowledge represented in system the formal concept analysis methodology is used.","PeriodicalId":6503,"journal":{"name":"2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON)","volume":"1 1","pages":"205-210"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Software system for the diagnosis of the spine diseases using case-based reasoning\",\"authors\":\"D. Palchunov, G. Yakhyaeva, O. Yasinskaya\",\"doi\":\"10.1109/SIBIRCON.2015.7361884\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper describes the Diagnostic Panel Software System designed for the “spinal deformity and degenerative diseases of the spine” subject domain. The work is based on the methods of statistical processing of the data obtained from medical documents written in a natural language. The software system based on patient's clinical and laboratory test results helps physicians determine a preliminary diagnosis of the patient and get quick information on the necessity of certain measures for final diagnosis and selection of the optimal treatment strategy. The Diagnostic Panel Software System uses case-based approach for the representation of knowledge extracted from a variety of natural language texts. Developed case-based approach is based on model-theoretic methods of subject domain ontology formalization. For the processing of knowledge represented in system the formal concept analysis methodology is used.\",\"PeriodicalId\":6503,\"journal\":{\"name\":\"2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON)\",\"volume\":\"1 1\",\"pages\":\"205-210\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBIRCON.2015.7361884\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBIRCON.2015.7361884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

本文介绍了为“脊柱畸形和脊柱退行性疾病”主题领域设计的诊断面板软件系统。这项工作是基于从以自然语言书写的医疗文件中获得的数据的统计处理方法。该软件系统基于患者的临床和实验室检查结果,帮助医生确定患者的初步诊断,并快速获得某些措施的必要性信息,以最终诊断和选择最佳治疗策略。诊断面板软件系统使用基于案例的方法来表示从各种自然语言文本中提取的知识。基于案例的方法是在主题领域本体形式化的模型理论方法的基础上发展起来的。对于系统所表示的知识的处理,采用形式概念分析方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Software system for the diagnosis of the spine diseases using case-based reasoning
The paper describes the Diagnostic Panel Software System designed for the “spinal deformity and degenerative diseases of the spine” subject domain. The work is based on the methods of statistical processing of the data obtained from medical documents written in a natural language. The software system based on patient's clinical and laboratory test results helps physicians determine a preliminary diagnosis of the patient and get quick information on the necessity of certain measures for final diagnosis and selection of the optimal treatment strategy. The Diagnostic Panel Software System uses case-based approach for the representation of knowledge extracted from a variety of natural language texts. Developed case-based approach is based on model-theoretic methods of subject domain ontology formalization. For the processing of knowledge represented in system the formal concept analysis methodology is used.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Principles of organization and control of multielectrode neuro-electrostimulation device Digraph based medical treatment planning Feasibility of a capnometry device for respiratory biofeedback in patients undergoing coronary artery bypass graft surgery Computer modeling of stress-strain state of the intact portion of the coronary artery with circular irregular stenosis Multiplex detection of IgG class antibodies to Toxoplasma gondii, Rubella virus, Cytomegalovirus and Herpes virus using a novel multiplex flow immunoassay
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1