Improving the Accuracy of Rapid Antigen Tests for Covid-19 using Data Mining and Blood Test
10th International Scientific Conference on Computer Science, COMSCI 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2136144
ABSTRACT
PCR tests are known to give the most accurate results, but are not suitable for mass testing. This article suggests the use of data extraction to diagnose Covid-19. For this purpose, data from rapid antigen tests, external signs of infection and general blood count are processed. The result is that the reliability of antigen tests increases from 50% to over 72%. The future development of the system is to generate a hypothesis about the likelihood of complex application of Covid-19. PCR tests are known to give the most accurate results, but are not suitable for mass testing. © 2022 IEEE.
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Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Reviews
Language:
English
Journal:
10th International Scientific Conference on Computer Science, COMSCI 2022
Year:
2022
Document Type:
Article
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