P. Kshirsagar, MAKARAND UPADHYAYA, P. Dadheech, T. Yuvaraj, C. A. S. Moorthy
{"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}
引用次数: 0
使用机器学习的Covid启发式分析
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。
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