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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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Full text: Available Collection: 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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Full text: Available Collection: 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