基于多模态方法的医学诊断机器学习方法:简要回顾

V. Pisarkova, Ekaterina Lopukhova, Alfiya Yamileva, Alexey S. Kovtunenko, G. Voronkov, E. Grakhova, R. Kutluyarov, A. Bilyalov
{"title":"基于多模态方法的医学诊断机器学习方法:简要回顾","authors":"V. Pisarkova, Ekaterina Lopukhova, Alfiya Yamileva, Alexey S. Kovtunenko, G. Voronkov, E. Grakhova, R. Kutluyarov, A. Bilyalov","doi":"10.1145/3584202.3584305","DOIUrl":null,"url":null,"abstract":"The brief review shows the potential of machine learning to improve the accuracy of multimodal medical diagnostic methods to a new level. Various machine learning algorithms, modalities, and cases demonstrating this approach’s significance are considered.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine learning methods for medical diagnostics based on a multimodal approach: a brief review\",\"authors\":\"V. Pisarkova, Ekaterina Lopukhova, Alfiya Yamileva, Alexey S. Kovtunenko, G. Voronkov, E. Grakhova, R. Kutluyarov, A. Bilyalov\",\"doi\":\"10.1145/3584202.3584305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The brief review shows the potential of machine learning to improve the accuracy of multimodal medical diagnostic methods to a new level. Various machine learning algorithms, modalities, and cases demonstrating this approach’s significance are considered.\",\"PeriodicalId\":438341,\"journal\":{\"name\":\"Proceedings of the 6th International Conference on Future Networks & Distributed Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Conference on Future Networks & Distributed Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3584202.3584305\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3584202.3584305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

简要回顾显示了机器学习将多模式医学诊断方法的准确性提高到一个新水平的潜力。考虑了各种机器学习算法,模式和证明该方法重要性的案例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine learning methods for medical diagnostics based on a multimodal approach: a brief review
The brief review shows the potential of machine learning to improve the accuracy of multimodal medical diagnostic methods to a new level. Various machine learning algorithms, modalities, and cases demonstrating this approach’s significance are considered.
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
×
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:481959085
Book学术官方微信