COVID-19 Confirm Cases, Death Rate, Vaccine & Predication: Virus Detect by Gogle Net & Dense Net Model

Authors

  • Jin Ku San Department of Medicine, Duy Tan University, Hanoi, VIETNAM

Keywords:

Covid-19, Predication, Vaccine Progress, GoogleNet, DenseNet, Data Mining

Abstract

In this paper, our major aim will be to concentrate on Covid-19 (Daily death and confirm new cases, prediction for Virus) and different types of vaccine through Visualization data. Additionally, Detection of human diseases Covid-19 from medical images (X-Ray). For Image classification, we have used GoogleNet & DenseNet model. For this work, we used two different datasets. For the Covid- 19, Everything all over the world has been changed. The absence of effective legal treatment or vaccination is the primary cause of the disease's severity. During a pandemic, early detection of patient mortality concerns can help to reduce death by ensuring effective resource allocation and treatment planning. Through our work, people will know about the affected rate (confirm case), death rate, vaccination process, and compare the many countries. The general public will be more aware of the Covid-19 Virus as a result of the prognosis.

References

L. J. Muhammad, "https://www.ncbi.nlm.nih.gov/pubmed/?term=Islam%20MM%5bAuthor%5d&cauthor=true&cauthor_uid=33063049"Md. Milon Islam, "https://www.ncbi.nlm.nih.gov/pubmed/?term=Usman%20SS%5bAuthor%5d&cauthor=true&cauthor_uid=33063049"Sani Sharif Usman, and Safial Islam Ayon Predicting the incidence of COVID-19 using data mining, SN COMPUT SCI. 2020; 1(4): 206. Published online 2020 Jun 21. doi: 10.1007/s42979-020-00216-w

Fatemeh Ahouz, Amin Golabpour, Predicting the incidence of COVID- 19 using data mining, BMC Public Health volume 21, Article number: 1087 (2021).

Daniel Kermany, Kang Zhang, Michael Goldbaum, Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification, 6 January 2018, Version 2 DOI:10.17632/rscbjbr9sj.

Ekta Gambhir; Ritika Jain; Alankrit Gupta; Uma Tomer, Regression Analysis of COVID-19 using Machine Learning Algorithms, 10.1109/ICOSEC49089.2020.9215356.

"https://arxiv.org/search/cs?searchtype=author&query=Huang%2C%2BG" "https://arxiv.org/search/cs?searchtype=author&query=Huang%2C%2BG"Huang, Zhuang "https://arxiv.org/search/cs?searchtype=author&query=Liu%2C%2BZ" "https://arxiv.org/search/cs?searchtype=author&query=Liu%2C%2BZ"Liu, Laurens "https://arxiv.org/search/cs?searchtype=author&query=van%2Bder%2BMaaten%2C%2BL" "https://arxiv.org/search/cs?searchtype=author&query=van%2Bder%2BMaaten%2C%2BL"van "https://arxiv.org/search/cs?searchtype=author&query=van%2Bder%2BMaaten%2C%2BL" "https://arxiv.org/search/cs?searchtype=author&query=van%2Bder%2BMaaten%2C%2BL"der "https://arxiv.org/search/cs?searchtype=author&query=van%2Bder%2BMaaten%2C%2BL" "https://arxiv.org/search/cs?searchtype=author&query=van%2Bder%2BMaaten%2C%2BL"Maaten, Kilian "https://arxiv.org/search/cs?searchtype=author&query=Weinberger%2C%2BK%2BQ" "https://arxiv.org/search/cs?searchtype=author&query=Weinberger%2C%2BK%2BQ"Q. "https://arxiv.org/search/cs?searchtype=author&query=Weinberger%2C%2BK%2BQ" "https://arxiv.org/search/cs?searchtype=author&query=Weinberger%2C%2BK%2BQ"Weinberger: Densely Connected Convolutional Networks. Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG).

C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, V V anhoucke, A Rabinovich4, Google Inc. University of North Carolina, Chapel Hill, University of Michigan, Ann Arbor 4Magic Leap Inc.

M. B. Islam, K. S. Islam, A. Noman, J. Ncube and X. Chen, "A Fiber Wireless Improved 5G Network-Based Virtual Networking System Focused on Equal Bandwidth," 2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC), 2021, pp. 439-445, DOI: 10.1109/ISCEIC53685.2021.00098.

Anne Duggan- COVID-19 Covid-19 Projects and Initiatives by Johns Hopkins Bloomberg School of Public Health.

Alan L. Porter, Yi Zhang, Ying Huang and Mengjia Wu: Tracking and Mining the COVID-19- Research Literature. doi.org/10.3389/ frma.2020.594060

M B Islam, Swarna Hasibunnahar and others “Analysis Diet & Food Restaurant in the Covid-19 Time by Machine Learning Approaches” unpublished.

Sao Paulo (USP), Sao Carlos, SP: Data Mining Approach to Analyze Covid19 Dataset of Brazilian Patients, Institute of Mathematics and Computer Science (ICMC), University of Brazil.

M B Islam S Hasibunahra, Dr. P K Shukla, Dr. P K Shukla, Dr PRawat and Dr. J Dange, “Twitter opinion mining on COVID-19 Vaccinations by Machine Learning Approaches” unpublished.

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Published

2022-04-30

How to Cite

Jin Ku San. (2022). COVID-19 Confirm Cases, Death Rate, Vaccine & Predication: Virus Detect by Gogle Net & Dense Net Model. Stallion Journal for Multidisciplinary Associated Research Studies, 1(2), 30–40. Retrieved from https://sjmars.com/index.php/sjmars/article/view/11

Issue

Vol. 1 No. 2 (2022): April Issue

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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