Diagnostic Mask for SARS-CoV-2 Detection Using Immunochromatography and Machine Learning
5th International Conference on Electronics, Materials Engineering and Nano-Technology, IEMENTech 2021
; 2021.
Article
in English
| Scopus | ID: covidwho-1662210
ABSTRACT
Amidst the deadly COVID-19 pandemic situation, the increasing number of cases is a major concern especially at places where tests are not available easily, are inconvenient and results take a long time to be declared. We present a solution by which tests can be performed easily by individuals with the aid of a mask. It involves no hazard and saves time for immediate treatment of positive patients. To enhance the efficiency of the product, we have also incorporated a predictive model using machine learning which produces outcome based on real life scenarios. © 2021 IEEE.
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
5th International Conference on Electronics, Materials Engineering and Nano-Technology, IEMENTech 2021
Year:
2021
Document Type:
Article
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