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.
Search on Google
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
Similar
MEDLINE
...
LILACS
LIS