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Impact of Covid Vaccination: A Machine Learning Approach
1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021 ; 107:4987-4998, 2022.
Article in English | Scopus | ID: covidwho-1874787
ABSTRACT
The speed with which the COVID-19 pandemic has spread is astounding, but the global response is based on lessons learned from earlier sickness outbreaks in recent years. In a human test immunization study, solid volunteers are given a test antibody and afterward intentionally presented to the life from making the sickness check whether the antibody works or not. Nonetheless, there are significant moral contemplations that should be tended to especially for another infection like COVID-19, which perhaps not yet completely comprehend as yet it tends to figure out how to treat. It could be hard for the clinical local area and expected volunteers to appropriately appraise the possible dangers of taking an interest in a COVID-19 human test study. The investigation is completed utilizing managed AI calculations where it has been attempted to foresee the yield with greatest exactness. © The Electrochemical Society
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies Topics: Vaccines Language: English Journal: 1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies Topics: Vaccines Language: English Journal: 1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021 Year: 2022 Document Type: Article