{"title":"COVID-19:走向人工智能算法","authors":"Y. H. Sulaiman, A. Mustafa","doi":"10.1109/HORA52670.2021.9461323","DOIUrl":null,"url":null,"abstract":"Data are available to promote the advancement of biotechnological resources to counter this novel epidemic of Coronavirus. This paper discusses and analyzes the significant applications of artificial intelligence and machine learning to the regular operations of the COVID-19 outbreak. Continued advancement in artificial intelligence and machine learning has improved care, medication, screening, prediction, contact detection, and drug/vaccine production approaches for the COVID-19 flu pandemic and reduced human interventions in medical practice. However, several models have not been applied enough to illustrate their real-world operation, but they also display promising results in the battle against the COVID-19 virus.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"COVID-19: Toward Artificial Intelligence Algorithms\",\"authors\":\"Y. H. Sulaiman, A. Mustafa\",\"doi\":\"10.1109/HORA52670.2021.9461323\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data are available to promote the advancement of biotechnological resources to counter this novel epidemic of Coronavirus. This paper discusses and analyzes the significant applications of artificial intelligence and machine learning to the regular operations of the COVID-19 outbreak. Continued advancement in artificial intelligence and machine learning has improved care, medication, screening, prediction, contact detection, and drug/vaccine production approaches for the COVID-19 flu pandemic and reduced human interventions in medical practice. However, several models have not been applied enough to illustrate their real-world operation, but they also display promising results in the battle against the COVID-19 virus.\",\"PeriodicalId\":270469,\"journal\":{\"name\":\"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HORA52670.2021.9461323\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HORA52670.2021.9461323","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

现有数据可用于促进生物技术资源的进步,以应对这一新型冠状病毒流行。本文讨论和分析了人工智能和机器学习在新冠肺炎疫情防控工作中的重要应用。人工智能和机器学习的持续进步改善了COVID-19流感大流行的护理、药物治疗、筛查、预测、接触者检测和药物/疫苗生产方法,并减少了医疗实践中的人为干预。然而,有几个模型还没有得到足够的应用,不足以说明它们在现实世界的运作,但它们在与COVID-19病毒的斗争中也显示出有希望的结果。
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-19: Toward Artificial Intelligence Algorithms
Data are available to promote the advancement of biotechnological resources to counter this novel epidemic of Coronavirus. This paper discusses and analyzes the significant applications of artificial intelligence and machine learning to the regular operations of the COVID-19 outbreak. Continued advancement in artificial intelligence and machine learning has improved care, medication, screening, prediction, contact detection, and drug/vaccine production approaches for the COVID-19 flu pandemic and reduced human interventions in medical practice. However, several models have not been applied enough to illustrate their real-world operation, but they also display promising results in the battle against the COVID-19 virus.
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
IMMBA – An Integrative Model for Mobile Banking Adoption: The Case of Saudi Arabia Design of Mobile Robot with Strandbeest Walking Mechanism to Overcome the Set Type Obstacle Analysis of the KNN Classifier Distance Metrics for Bulgarian Fake News Detection Determine the Shortest Path Problem Using Haversine Algorithm, A Case Study of SMA Zoning in Depok Integration of Cloud-Based Speech Recognition System to the Internet of Things Based Smart Home Automation
×
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