Covid diseases analysis using chest x-ray with machine learning approach.
Abstract & Details
Research Area
computer engineering
Keywords
ML
COVID-19
Modeling
Forecasting.
Abstract
The COVID-19 epidemic has forced several
organizations to undergo major shift, to examine
essential aspects of their economic cycles and to make
use of invention in order to maintain activities whilst
maintaining a shifting rule scene and unique method.
This review provides a comprehensive understanding via
a framework of facts and an original approach of huge
no of key issues and fundamental subtleties impacting
organizations and society fromCOVID-19. The views for
different welcoming industry professionals are analyzed
and broken down when the specific interpretations may
be understood: Web learning, modern technology, manmade brainpower, data board, social communication,
security of
networks, information giant, block chain, security, multifaceted invention and approach from the present
emergency standpoint and influence on such specific
areas. The master perspectives give the extent of the
elements optimum comprehension, distinguishing central
questions and proposals for hypothesis and practice by
utilizing chest X-Ray pictures with ML approach. In the
paper, the use of these ML methods to cope with the
COVID-19 pandemic flow situation is a promising
aspect, just as the prevention of Covid infection model is
proposed. Result
shows the proposed hybrid approach
gives better accuracy as compare to other.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Ms. Manisha S. Kharat | Sharadchandra Pawar college of engineering and technology,someshwarnagar |
| 2 | Mrs.Prof. Mangal .V. Wagh | Sharadchandra Pawar college of engineering and technology,someshwarnagar |
| 3 | Ms. Priyanka S. Pingale | Sharadchandra Pawar college of engineering and technology,someshwarnagar |
| 4 | Ms. Monali B. Patole | Sharadchandra Pawar college of engineering and technology,someshwarnagar |
| 5 | Ms. Priya S. Lonkar | Sharadchandra Pawar college of engineering and technology,someshwarnagar |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Kharat, Ms. Manisha S., Wagh, Mrs.Prof. Mangal .V., Pingale, Ms. Priyanka S., Patole, Ms. Monali B., & Lonkar, Ms. Priya S. (2022). Covid diseases analysis using chest x-ray with machine learning approach.. International Journal of Advance Research and Innovative Ideas In Education, 8(2), 520-523.
MLA Style
Kharat, Ms. Manisha S., et al. "Covid diseases analysis using chest x-ray with machine learning approach.." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 2, 2022, pp. 520-523.
IEEE Style
Ms. Manisha S. Kharat, Mrs.Prof. Mangal .V. Wagh, Ms. Priyanka S. Pingale, Ms. Monali B. Patole, and Ms. Priya S. Lonkar, "Covid diseases analysis using chest x-ray with machine learning approach.," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 2, pp. 520-523, 2022.
Vancouver Style
Kharat Ms. Manisha S., Wagh Mrs.Prof. Mangal .V., Pingale Ms. Priyanka S., Patole Ms. Monali B., Lonkar Ms. Priya S.. Covid diseases analysis using chest x-ray with machine learning approach.. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(2):520-523.
Harvard Style
Kharat, Ms. Manisha S., Wagh, Mrs.Prof. Mangal .V., Pingale, Ms. Priyanka S., Patole, Ms. Monali B., & Lonkar, Ms. Priya S. (2022) 'Covid diseases analysis using chest x-ray with machine learning approach.', International Journal of Advance Research and Innovative Ideas In Education, 8(2), pp. 520-523.
Chicago Style
Kharat, Ms. Manisha S., et al. "Covid diseases analysis using chest x-ray with machine learning approach.." International Journal of Advance Research and Innovative Ideas In Education 8, no. 2 (2022): 520-523.
Turabian Style
Kharat, Ms. Manisha S., et al. "Covid diseases analysis using chest x-ray with machine learning approach.." International Journal of Advance Research and Innovative Ideas In Education 8, no. 2 (2022): 520-523.
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