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Artificial Intelligence in Healthcare during Covid-19 Pandemic

by R. John Martin, Fathe Jeribi, S.L. Swapna
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 6
Year of Publication: 2022
Authors: R. John Martin, Fathe Jeribi, S.L. Swapna
10.5120/ijca2022922007

R. John Martin, Fathe Jeribi, S.L. Swapna . Artificial Intelligence in Healthcare during Covid-19 Pandemic. International Journal of Computer Applications. 184, 6 ( Apr 2022), 19-23. DOI=10.5120/ijca2022922007

@article{ 10.5120/ijca2022922007,
author = { R. John Martin, Fathe Jeribi, S.L. Swapna },
title = { Artificial Intelligence in Healthcare during Covid-19 Pandemic },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2022 },
volume = { 184 },
number = { 6 },
month = { Apr },
year = { 2022 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number6/32333-2022922007/ },
doi = { 10.5120/ijca2022922007 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:20:46.081604+05:30
%A R. John Martin
%A Fathe Jeribi
%A S.L. Swapna
%T Artificial Intelligence in Healthcare during Covid-19 Pandemic
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 6
%P 19-23
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The use of data engineering and analytics is at the forefront of efforts to combat the current Covid-19 pandemic. Cloud-based data analytics platforms are being inducted to handle the Covid-19 data in order to deal with the SARS-CoV-2 virus pandemic that is currently underway. The entire world has been experiencing serious difficulties in dealing with the situation because of the lack of clarity surrounding the virus's origin and clinical characteristics. Despite the fact that the world is doing everything it can to obtain certain facts about the disease, much information about the SARS-CoV-2 virus is still unknown and uncertain. The scientific community around the world has used a variety of analytical and statistical approaches to uncover the unknown and uncertain properties of the SARS-CoV-2 virus, which is currently under investigation. This paper reviews the most appropriate artificial intelligence (AI) based healthcare applications that are currently being used, as well as their significance in dealing with the Covid-19 pandemic.

References
  1. Pinotti, F., Di Domenico, L., Ortega, E., Mancastroppa, M., Pullano, G., Valdano, E., Boelle, P.Y., Poletto, C., Colizza, V. (2020). Tracing and analysis of 288 early sars-cov-2 infections outside china: a modeling study. PLOS Medicine, 17, e1003193. https://doi.org/10.1371/journal.pmed.1003193.
  2. Della Rossa, F., Salzano, D., Di Meglio, A., De Lellis, F., Coraggio, M., Calabrese, C., Guarino, A., Cardona-Rivera, R., De Lellis, P., Liuzza, D., Lo Iudice, F., Russo, G., di Bernardo, M. (2020). A network model of Italy shows that intermittent regional strategies can alleviate the covid-19 epidemic. Nature Communications, 11(1), 5106. https://doi.org/10.1038/s41467-020-18827-5.
  3. Hu Z, Ge Q, Jin L, Xiong M. Artificial intelligence forecasting of COVID-19 in China. arXiv preprint arXiv:2002.07112. 2020. February 2017.
  4. Yamin, M. IT applications in healthcare management: a survey. Int. j. inf. tecnol. 10, 503–509 (2018). https://doi.org/10.1007/s41870-018-0203-3
  5. John Martin R., Sujatha S. and Swapna S L.. Multiresolution Analysis in EEG Signal Feature Engineering for Epileptic Seizure Detection. International Journal of Computer Applications 180(17):14-20, February 2018.
  6. Iroju, Olaronke G., and Janet O. Olaleke. "A systematic review of natural language processing in healthcare." International Journal of Information Technology and Computer Science 8 (2015): 44-50.
  7. Triberti, Stefano, Ilaria Durosini, Davide La Torre, Valeria Sebri, Lucrezia Savioni, and Gabriella Pravettoni. "Artificial Intelligence in Healthcare Practice: How to Tackle the “Human” Challenge." In Handbook of Artificial Intelligence in Healthcare, pp. 43-60. Springer, Cham, 2022.
  8. Giovanni Sotgiu, Laure Wynants. Improving clinical management of COVID-19: the role of prediction models. The Lancet. VOLUME 9, ISSUE 4, P320-321, APRIL 01, 2021.
  9. Ramanathan S, Ramasundaram M. Accurate computation: COVID-19 rRT-PCR positive test dataset using stages classification through textual big data mining with machine learning. J Supercomput. 2021 Jan 4:1-15. https://doi.org/10.1007/s11227-020-03586-3
  10. Zoabi, Y., Deri-Rozov, S. & Shomron, N. Machine learning-based prediction of COVID-19 diagnosis based on symptoms. npj Digit. Med. 4, 3 (2021). https://doi.org/10.1038/s41746-020-00372-6
  11. Talha Burak Alakus, Ibrahim Turkoglu. Comparison of deep learning approaches to predict COVID-19 infection. Chaos, Solitons & Fractals. Volume 140, 2020, 110120, https://doi.org/10.1016/j.chaos.2020.110120
  12. Ç. Dilibal, "Development of Edge-IoMT Computing Architecture for Smart Healthcare Monitoring Platform," 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2020, pp. 1-4, doi: 10.1109/ISMSIT50672.2020.9254501.
  13. V. P. Yanambaka, A. Abdelgawad and K. Yelamarthi, "PIM: A PUF-Based Host Tracking Protocol for Privacy Aware Contact Tracing in Crowded Areas," in IEEE Consumer Electronics Magazine, vol. 10, no. 4, pp. 90-98, 1 July 2021, doi: 10.1109/MCE.2021.3065215.
  14. Y. Sahraoui, L. D. Lucia, A. Maria Vegni, C. A. Kerrache, M. Amadeo and A. Korichi, "TraceMe: Real-Time Contact Tracing and Early Prevention of COVID-19 based on Online Social Networks," 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022, pp. 893-896, doi: 10.1109/CCNC49033.2022.9700684.
  15. Banoei, M.M., Dinparastisaleh, R., Zadeh, A.V. et al. Machine-learning-based COVID-19 mortality prediction model and identification of patients at low and high risk of dying. Crit Care. 25, 328 (2021).
  16. John Martin R, Swapna S.L, Sujatha S, (2018). Adopting Machine Learning Models for Data Analytics-A Technical Note. International Journal of Computer Sciences and Engineering, 6(10), 359-364.
  17. Banoei, M.M., Dinparastisaleh, R., Zadeh, A.V. et al. Machine-learning-based COVID-19 mortality prediction model and identification of patients at low and high risk of dying. Crit Care 25, 328 (2021). https://doi.org/10.1186/s13054-021-03749-5
  18. Thomas S., Abraham A., Baldwin J., Piplani S., Petrovsky N. (2022) Artificial Intelligence in Vaccine and Drug Design. In: Thomas S. (eds) Vaccine Design. Methods in Molecular Biology, vol 2410. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1884-4_6
  19. Chen S, Yang J, Yang W, Wang C, B€arnighausen T. COVID-19 control in China during mass population movements at New Year. Lancet 2020. https:// doi.org/10.1016/S0140-6736(20)30421-9.
  20. Abiodun K.M., Awotunde J.B., Aremu D.R., Adeniyi E.A. (2022) Explainable AI for Fighting COVID-19 Pandemic: Opportunities, Challenges, and Future Prospects. In: Kose U., Watada J., Deperlioglu O., Marmolejo Saucedo J.A. (eds) Computational Intelligence for COVID-19 and Future Pandemics. Disruptive Technologies and Digital Transformations for Society 5.0. Springer, Singapore. https://doi.org/10.1007/978-981-16-3783-4_15
  21. Eng, Y., Liu, E., Peng, S. et al. Using artificial intelligence technology to fight COVID-19: a review. Artif Intell Rev (2022). https://doi.org/10.1007/s10462-021-10106-z
Index Terms

Computer Science
Information Sciences

Keywords

AI IoT Healthcare COVID-19 SARS-CoV-2 Data Analytics

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