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Post-COVID impact on skin allergies
Data Science Applications of Post-COVID-19 Psychological Disorders ; : 261-288, 2022.
Article in English | Scopus | ID: covidwho-2124675
ABSTRACT
The pandemic raises several concerns for medical providers. Speedy screening and therapy, susceptibility categorization, effective utilization of acute medical utilities, proper drugs, observation, and quick release are vital for protecting as many victims as feasible. We discussed several ML (machine learning) classification strategies for analyzing skin-related concerns. This chapter tries to give appropriate skin specialists a strategy plan to comprehend its potential and difficulties. In this study, we employ several classification approaches and multi-model classification methods-design autonomous assessment assistance to reliably detect a specific type of allergic rhinitis ailment for deployment. © 2022 Nova Science Publishers, Inc. All rights reserved.
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Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies Topics: Long Covid Language: English Journal: Data Science Applications of Post-COVID-19 Psychological Disorders Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies Topics: Long Covid Language: English Journal: Data Science Applications of Post-COVID-19 Psychological Disorders Year: 2022 Document Type: Article