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
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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