Intelligent Medical Information System Based on Genetic Algorithm

N. Limanova, K. S. Markov, G. A. Platova
{"title":"Intelligent Medical Information System Based on Genetic Algorithm","authors":"N. Limanova, K. S. Markov, G. A. Platova","doi":"10.1109/ITNT57377.2023.10139107","DOIUrl":null,"url":null,"abstract":"The paper presents intelligent medical information system developed by the authors, which can be used to search for the most probable diagnosis of a patient's disease based on his complaints, information about previous and hereditary diseases entered into the system during his preliminary survey and clarified during attendance to the doctor. The innovativeness of the proposed solution lies in the features of the specialized genetic algorithm implementation, which is the basis of the intelligent medical information system. For 428 patients out of 540 entered into the system, doctors confirmed the most probable diagnoses automatically generated by the system.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNT57377.2023.10139107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The paper presents intelligent medical information system developed by the authors, which can be used to search for the most probable diagnosis of a patient's disease based on his complaints, information about previous and hereditary diseases entered into the system during his preliminary survey and clarified during attendance to the doctor. The innovativeness of the proposed solution lies in the features of the specialized genetic algorithm implementation, which is the basis of the intelligent medical information system. For 428 patients out of 540 entered into the system, doctors confirmed the most probable diagnoses automatically generated by the system.
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
基于遗传算法的智能医疗信息系统
本文介绍了作者开发的智能医疗信息系统,该系统可根据患者的主诉、前期调查时输入的既往病史和遗传性疾病信息,以及就诊时的明确信息,搜索最可能的疾病诊断。该方案的创新之处在于遗传算法实现的特殊性,而遗传算法是智能医疗信息系统的基础。在进入系统的540名患者中,医生对428名患者进行了系统自动生成的最有可能的诊断。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Cooperative Application of Vehicular Traffic Rerouting Method and Adaptive Traffic Signal Control Method Analysis of the Influence of Space Weather Factors on the Telemetry Parameters of Small Spacecraft in Low Earth Orbit Correlations and Statistical Memory Effects as Markers of Age-related Changes in Complex Systems of Living Nature Visualization of feature spaces based on spectral and texture characteristics Electrically controlled optical spectral filters for WDM communication networks based on multilayer inhomogeneous holographic diffraction structures
×
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