使用机器学习的Covid启发式分析

P. Kshirsagar, MAKARAND UPADHYAYA, P. Dadheech, T. Yuvaraj, C. A. S. Moorthy
{"title":"使用机器学习的Covid启发式分析","authors":"P. Kshirsagar, MAKARAND UPADHYAYA, P. Dadheech, T. Yuvaraj, C. A. S. Moorthy","doi":"10.1063/5.0074120","DOIUrl":null,"url":null,"abstract":"The newer avid-19 corona virus created havoc for patients with a variety of complications that prompted health practitioners around the world to develop new technologies and treatment plans. Technologies based on Machine Learning (ML) have been a major factor in addressing complex issues and many businesses have been able to develop and adapt to the COVID-19 challenges. The diagnosis of illness can be used with different AI methods to monitor the present havoc. Since Machine Learning (ML) approaches have been commonly used in other domain fields, a great deal of demand is now being made for ML-supported diagnostic systems to screen, monitor, and forecast void-19 spread and find a cure. The article presents an overview of the role of ML to combat the virus so far, especially from the perspective of screening, prognosis, and vaccine. © 2022 Author(s).","PeriodicalId":443051,"journal":{"name":"RECENT TRENDS IN SCIENCE AND ENGINEERING","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Covid heuristic analysis using machine learning\",\"authors\":\"P. Kshirsagar, MAKARAND UPADHYAYA, P. Dadheech, T. Yuvaraj, C. A. S. Moorthy\",\"doi\":\"10.1063/5.0074120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The newer avid-19 corona virus created havoc for patients with a variety of complications that prompted health practitioners around the world to develop new technologies and treatment plans. Technologies based on Machine Learning (ML) have been a major factor in addressing complex issues and many businesses have been able to develop and adapt to the COVID-19 challenges. The diagnosis of illness can be used with different AI methods to monitor the present havoc. Since Machine Learning (ML) approaches have been commonly used in other domain fields, a great deal of demand is now being made for ML-supported diagnostic systems to screen, monitor, and forecast void-19 spread and find a cure. The article presents an overview of the role of ML to combat the virus so far, especially from the perspective of screening, prognosis, and vaccine. © 2022 Author(s).\",\"PeriodicalId\":443051,\"journal\":{\"name\":\"RECENT TRENDS IN SCIENCE AND ENGINEERING\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"RECENT TRENDS IN SCIENCE AND ENGINEERING\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1063/5.0074120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"RECENT TRENDS IN SCIENCE AND ENGINEERING","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1063/5.0074120","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

新型covid -19冠状病毒给患有各种并发症的患者造成了严重破坏,促使世界各地的卫生从业人员开发新技术和治疗计划。基于机器学习(ML)的技术已经成为解决复杂问题的主要因素,许多企业已经能够开发和适应COVID-19的挑战。疾病诊断可以用不同的人工智能方法来监测当前的浩劫。由于机器学习(ML)方法已广泛用于其他领域,因此现在对ML支持的诊断系统有很大的需求,以筛选、监测和预测虚空-19的传播并找到治疗方法。本文概述了迄今为止ML在对抗病毒中的作用,特别是从筛查、预后和疫苗的角度。©2022作者。
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
Covid heuristic analysis using machine learning
The newer avid-19 corona virus created havoc for patients with a variety of complications that prompted health practitioners around the world to develop new technologies and treatment plans. Technologies based on Machine Learning (ML) have been a major factor in addressing complex issues and many businesses have been able to develop and adapt to the COVID-19 challenges. The diagnosis of illness can be used with different AI methods to monitor the present havoc. Since Machine Learning (ML) approaches have been commonly used in other domain fields, a great deal of demand is now being made for ML-supported diagnostic systems to screen, monitor, and forecast void-19 spread and find a cure. The article presents an overview of the role of ML to combat the virus so far, especially from the perspective of screening, prognosis, and vaccine. © 2022 Author(s).
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
Comparative analysis of crime predictions using machine learning algorithms with geospatial features Analysis of machine learning algorithm in network threat detection Application of mixed teaching method in teaching nursing process Spherical neutrosophic graph coloring Optimisation of machining parameters for colmonoy hard faced on stainless steel in wire cut EDM
×
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