Machine Learning-based Approach for Prevention of COVID-19 using Steam Vaporizer

Q4 Environmental Science GMSARN International Journal Pub Date : 2022-01-26 DOI:10.36227/techrxiv.18753377.v1

Professor (Dr.) R.K. Saket

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Abstract

The present article provides a brief review on Coronavirus Disease-19 (COVID-19) with its prevention using a prototype steam vaporizer developed at home during the lockdown period. The paper discusses the role of Machine Learning (ML) and Artificial Intelligence (AI) for the identification of COVID19. At present, the panic mode and non-availability of anti-drug exponentially increases the COVID-19 cases in India and other parts of the world. This emphasizes humans stay home as a preventing solution to fight against COVID-19. However, staying inside the home is also not safe even when one person is going out for new emergent works. It is also complicated to stay safe from COVID-19 due to a shortage of related preventive measures. Thus, a cheap method of preparing a steam vaporizer is suggested in this paper. Also, its prototype is developed at home with readily available materials. This handheld steam vaporizer has been demonstrated and validated on five people with mild cough and cold symptoms. The survey is carried out using the web page of the COVID 19 survey through the phone. Based on this survey, the person can be informed whether that person is COVID positive or not. The web page for survey is needed to be circulated as much as possible. The tabular and graphically illustrated results show the betterment of this homemade steam vaporizer in mitigating the CoV like viruses.

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基于机器学习的使用蒸汽蒸发器预防新冠肺炎的方法

本文简要回顾了在封锁期间使用家中开发的原型蒸汽蒸发器预防冠状病毒病-19（新冠肺炎）的情况。本文讨论了机器学习（ML）和人工智能（AI）在识别COVID19中的作用。目前，恐慌模式和抗药物的不可用性使印度和世界其他地区的新冠肺炎病例呈指数级增加。这强调人类呆在家里是预防新冠肺炎的解决方案。然而，即使一个人要出去做新的紧急工作，呆在家里也不安全。由于缺乏相关的预防措施，保持新冠肺炎的安全也很复杂。因此，本文提出了一种廉价的蒸汽蒸发器的制备方法。此外，它的原型是用现成的材料同时开发的。这种手持式蒸汽蒸发器已经在五名有轻微咳嗽和感冒症状的人身上进行了演示和验证。这项调查是通过电话使用2019冠状病毒病调查的网页进行的。根据这项调查，可以告知此人是否为新冠肺炎阳性。需要尽可能多地分发调查网页。表格和图表显示了这种自制蒸汽蒸发器在减轻类冠状病毒方面的改进。

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GMSARN International Journal Environmental Science-Environmental Science (miscellaneous)

CiteScore

0.90

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0.00%

发文量

期刊介绍： The GMSARN International Journal is dedicated to advanced knowledge in environment, energy, and sustainable development by the rigorous examination and analysis of theories and good practices, and approach to solve an identified common and transboundary problem with regional and international perspectives. The GMSARN International Journal is quarterly journal published by GMSARN in March, June, September and December of each year. The papers are double-blinded reviewed by expert referees. In particular, the authors of published papers are from many countries, especially from Greater Mekong Subregion (GMS) countries consisting of Cambodia, China, Laos, Myanmar, Thailand and Vietnam. However, authors outside the GMS region are also welcome to submit their contributions if their works fall into the aims and scope of this journal.

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Machine Learning-based Approach for Prevention of COVID-19 using Steam Vaporizer