ARCHIVES
Research Article
AI And COVID-19 Deep Learning Approaches For Diagnosis and Treatment
Sathvika Reddy Kalluru1
Sai Charitha Bandaru2
12Computer Science, SRM University AP, India.
Published Online: July-August 2022
Pages: 83-90
Cite this article
No DOIReferences
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[2] N. Chen, M. Zhou, X. Dong, J. Qu, F. Gong,Y.Han,Y. Qiu, J.Wang,Y. Liu,Y. Wei, J. Xia, T. Yu, X. Zhang, and L. Zhang,``Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumoniain Wuhan, China: A descriptive study,'' Lancet, vol. 395, no. 10223,pp. 507513, Feb. 2020.
[3] D. Wang, B. Hu, C. Hu, F. Zhu, X. Liu, J. Zhang, B. Wang, H. Xiang,Z. Cheng, Y. Xiong, and Y. Zhao, ``Clinical characteristics of
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[4] K. Liu, Y.-Y. Fang, Y. Deng, W. Liu, M.-F. Wang, J.-P. Ma, W. Xiao,Y.-N. Wang, M.-H. Zhong, C.-H. Li, G.-C. Li, and H.-G. Liu,
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[6] P. Hamet and J. Tremblay, ``Articial intelligence in medicine,''Metabolism, vol. 69, pp. S36S40, Apr. 2017.
[7] M. Jamshidi, A. Lalbakhsh, S. Lot, H. Siahkamari, B. Mohamadzade,and J. Jalilian, ``A neuro-based approach to designing a
Wilkinson powerdivider,'' Int. J. RF Microw. Comput.-Aided Eng., vol. 30, no. 3, Mar. 2020,Art. no. e22091.
[8] M. Jamshidi, A. Lalbakhsh, B. Mohamadzade, H. Siahkamari, andS. M. H. Mousavi, ``A novel neural-based approach for design
ofmicrostrip lters,'' AEU-Int. J. Electron. Commun., vol. 110, Oct. 2019,Art. no. 152847.
[9] M. B. Jamshidi, N. Alibeigi, A. Lalbakhsh, and S. Roshani, ``An ANFISapproach to modeling a small satellite power source ofNASA,''
inProc. IEEE 16th Int. Conf. Netw., Sens. Control (ICNSC), May 2019,pp. 459464.
[10] Y. Mintz and R. Brodie, ``Introduction to articial intelligence inmedicine,'' Minimally.
[11] Li, Lin et al. “Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT:
Evaluation of the Diagnostic Accuracy.” Radiology vol. 296,2 (2020): E65-E71. doi:10.1148/radiol.2020200905.
[12] Roberts, M., Driggs, D., Thorpe, M. et al. Common pitfalls and recommendations for using machine learning to detect and
prognosticate for COVID-19 using chest radiographs and CT scans. Nat Mach Intell 3, 199–217 (2021). https://doi.org/10.1038/s42256-
021-00307-0.
10223,pp. 497506, 2020.
[2] N. Chen, M. Zhou, X. Dong, J. Qu, F. Gong,Y.Han,Y. Qiu, J.Wang,Y. Liu,Y. Wei, J. Xia, T. Yu, X. Zhang, and L. Zhang,``Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumoniain Wuhan, China: A descriptive study,'' Lancet, vol. 395, no. 10223,pp. 507513, Feb. 2020.
[3] D. Wang, B. Hu, C. Hu, F. Zhu, X. Liu, J. Zhang, B. Wang, H. Xiang,Z. Cheng, Y. Xiong, and Y. Zhao, ``Clinical characteristics of
138 hospitalizedpatients with 2019 novel coronavirusinfected pneumonia in Wuhan,China,'' Jama, vol. 323, no. 11, pp. 10611069, 2020.
[4] K. Liu, Y.-Y. Fang, Y. Deng, W. Liu, M.-F. Wang, J.-P. Ma, W. Xiao,Y.-N. Wang, M.-H. Zhong, C.-H. Li, G.-C. Li, and H.-G. Liu,
``Clinicalcharacteristics of novel coronavirus cases in tertiary hospitals in Hubeiprovince,'' Chin. Med. J., vol. 133, no. 9, pp. 10251031,
May 2020.
[5] T. Guo et al., ``Cardiovascular implications of fatal outcomes of patientswith coronavirus disease 2019 (COVID-19),'' JAMA Cardiol., early access,Mar. 27, 2020, doi: 10.1001/jamacardio.2020.1017.
[6] P. Hamet and J. Tremblay, ``Articial intelligence in medicine,''Metabolism, vol. 69, pp. S36S40, Apr. 2017.
[7] M. Jamshidi, A. Lalbakhsh, S. Lot, H. Siahkamari, B. Mohamadzade,and J. Jalilian, ``A neuro-based approach to designing a
Wilkinson powerdivider,'' Int. J. RF Microw. Comput.-Aided Eng., vol. 30, no. 3, Mar. 2020,Art. no. e22091.
[8] M. Jamshidi, A. Lalbakhsh, B. Mohamadzade, H. Siahkamari, andS. M. H. Mousavi, ``A novel neural-based approach for design
ofmicrostrip lters,'' AEU-Int. J. Electron. Commun., vol. 110, Oct. 2019,Art. no. 152847.
[9] M. B. Jamshidi, N. Alibeigi, A. Lalbakhsh, and S. Roshani, ``An ANFISapproach to modeling a small satellite power source ofNASA,''
inProc. IEEE 16th Int. Conf. Netw., Sens. Control (ICNSC), May 2019,pp. 459464.
[10] Y. Mintz and R. Brodie, ``Introduction to articial intelligence inmedicine,'' Minimally.
[11] Li, Lin et al. “Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT:
Evaluation of the Diagnostic Accuracy.” Radiology vol. 296,2 (2020): E65-E71. doi:10.1148/radiol.2020200905.
[12] Roberts, M., Driggs, D., Thorpe, M. et al. Common pitfalls and recommendations for using machine learning to detect and
prognosticate for COVID-19 using chest radiographs and CT scans. Nat Mach Intell 3, 199–217 (2021). https://doi.org/10.1038/s42256-
021-00307-0.
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