Resolving Some Critical Issues in the Prevention, Diagnosis, Treatment and Management of Covid-19 Using Machine Learning

  IJCOT-book-cover
 
International Journal of Computer & Organization Trends  (IJCOT)          
 
© 2020 by IJCOT Journal
Volume - 10 Issue - 4
Year of Publication : 2020
Authors : Dipo Theophilus Akomolafe, Oluwatoyin Mary Yerokun, Ayo Fasakin
DOI : 10.14445/22492593/IJCOT-V10I4P301

Citation

MLA Style:Dipo Theophilus Akomolafe, Oluwatoyin Mary Yerokun, Ayo Fasakin "Resolving Some Critical Issues in the Prevention, Diagnosis, Treatment and Management of Covid-19 Using Machine Learning" International Journal of Computer and Organization Trends 10.4 (2020): 1-8. 

APA Style:Dipo Theophilus Akomolafe, Oluwatoyin Mary Yerokun, Ayo Fasakin(2020). Resolving Some Critical Issues in the Prevention, Diagnosis, Treatment and Management of Covid-19 Using Machine Learning International Journal of Computer and Organization Trends, 10(4), 1-8.

Abstract

COVID-19 is a highly transmittable viral infection with symptoms similar to some common diseases like malaria, diabetes, asthma and viral pneumonia. The global spread of the disease has made government of different nations to put measures in place to curtail its spread within their territories. Critical issues were raised as a result of these measures especially with mode of prevention, diagnosis and treatment. There is currently no cure found yet for the virus but health administrators isolate suspected COVID-19 patients and treat with various combinations of drugs and therapy. The confusing symptomatic resemblance with other diseases makes it extremely difficult to precisely diagnose its infection in patients. The high rate of spreading also made it imperative to isolate any person presenting any of the symptoms listed as COVID-19 patients; therefore, mistakes are bound to be made with this nonspecific diagnosis. This paper is proffering a technological way of resolving these critical issues by the application of Machine Learning, an Artificial Intelligent tool in the diagnosis of the disease. Python is herein used to build a system in pytorch and jupyter environment. The system successfully separated and classified the critical symptoms from general and common illnesses before following up on other tests while crossreferencing with laboratory and scan test results in the database, all with monitored consideration of the similarities in their symptoms

References

[1] Adnan Qayyum1, Junaid Qadir1, Muhammad Bilal2, and Ala Al-Fuqaha3 (2020) “Secure and Robust Machine Learning for Healthcare: A Survey “https://tinyurl.com/FDA-AI-diabetic-eye
[2] Bansal M. “Cardiovascular disease and COVID-19” Diabetes Metab Syndr. 2020;14(3):247-250. doi:10.1016/j.dsx.2020.03.013
[3] Cui J., Li F., Shi Z.-L. “Origin and evolution of pathogenic coronaviruses. Nat Rev Microbiol. 2019;17(3):181–192. [PMC free article] [PubMed] [Google Scholar]
[4] D. Kamming, M. Gardam, F. Chung Anaesthesia and SARS Br J Anaesth, 90 (6) (2003), pp. 715-718
[5] Driggin E, Madhavan MV, Bikdeli B, et al. “Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic”. J Am Coll Cardiol. 2020;75(18):2352-2371. doi:10.1016/j.jacc.2020.03.031
[6] Fernanda Farias Costa,aWilian Reis Rosário,aAna Cláudia Ribeiro Farias,aRamon Guimarães de Souza,bRoberta Sabrine Duarte Gondim,c and Wermerson Assunção Barrosoa,? Metabolic syndrome and COVID-19: An update on the associated comorbidities and proposed therapies Diabetes Metab Syndr. 2020 Jun 11 doi: 10.1016/j.dsx.2020.06.016 [Epub ahead of print]
[7] G. Biondi-Zoccai, G. Landoni, R. Carnevale, E. Cavarretta, S. Sciarretta, G. FratiSARS-CoV-2 and COVID-19: facing the pandemic together as citizens and cardiovascular practitioners,Minerva Cardioangiol (2020 Mar 9) [E-pub ahead of print] Google Scholar
[8] Haixia Chen, Li Ai, Hong Lu, Hongjun Li, “Clinical and imaging features of COVID-19, Radiology of Infectious Diseases”, 2020, https://apps.who.int/iris/bitstream/handle/10665/331215/W HO-2019-nCov-IPCPPE_use-2020.1-eng.pdf. Accessed March 6, 2020.
[9] Kochi AN, Tagliari AP, Forleo GB, Fassini GM, Tondo C. “Cardiac and arrhythmic complications in patients with COVID-19”. J Cardiovasc Electrophysiol. 2020;31(5):1003-1008. doi:10.1111/jce.14479
[10] Lai C.-C., Shih T.-P., Ko W.-C., Tang H.-J., Hsueh P.-R. “Severe acute respiratory syndrome coronavirus 2 (SARSCoV- 2) and corona virus disease-2019 (COVID-19): the epidemic and the challenges”. Int J Antimicrob Agents. 2020;105924 [PMC free article] [PubMed] [Google Scholar]
[11] Lotfinejad N, Peters A, Pittet D, “Hand hygiene and the novel coronavirus pandemic: The role of healthcare workers”, Journal of Hospital Infection, https://doi.org/10.1016/ j.jhin.2020.03.017
[12] Nagata N., Iwata N., Hasegawa H., Fukushi S., Yokoyama M., Harashima A. “Participation of both host and virus factors in induction of severe acute respiratory syndrome (SARS) in F344 rats infected with SARS coronavirus”. J Virol. 2007;81(4):1848–1857. [PMC free article] [PubMed] [Google Scholar]
[13] “National Center for Immunization and Respiratory Diseases (NCIRD)”, Division of Viral Diseases
[14] “Organization WH. Laboratory testing for coronavirus disease 2019 (COVID-19) in suspected human cases: “interim guidance, 2 March 2020. World Health Organization, 2020.
[15] Peiris J., Guan Y., Yuen K. “Severe acute respiratory syndrome”. Nat Med. 2004;10(12):S88–S97. [PMC free article] [PubMed] [Google Scholar]
[16] Rothan H.A.1, Byrareddy S.N. “The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak”. J Autoimmun. 2020 May;109:102433. doi: 10.1016/j.jaut.2020.102433. Epub 2020 Feb 26.
[17] Shereen M.A., Khan S., Kazmi A., Bashir N., Siddique R. “COVID-19 infection: origin, transmission, and
[18] characteristics of human coronaviruses”. J Adv Res. 2020;24:91–98. [PMC free article] [PubMed] [Google Scholar]
[19] Tenda ED, Yulianti M, Asaf MM, et al. “The Importance of Chest CT Scan in COVID-19”. Acta Medica Indonesiana. 2020 Jan;52(1):68-73.
[20] Trishan Panch, Peter Szolovits &Rifat Atun 2018 “The recent explosion in Artificial intelligence, machine learning and health systems” www.jogh.org• doi: 10.7189/jogh.08.02030
[21] Wang C, Horby PW, Hayden FG, Gao GF. “A novel coronavirus outbreak of global health concern.” The Lancet 2020.
[22] “WHO Director-General`s opening remarks at the media briefing on COVID-19” - 11 March 2020. https://www.who.int/dg/speeches/detail/who-directorgeneral- s-opening-remarks-at-the-media-briefing-on-covid- 19---11-march-2020
[23] WHO. “Infection prevention and control during health care when novel coronavirus (nCoV) infection is suspected”. Interim guidance. 25 January 2020. WHO 2020. Available at: https://apps.who.int/iris/rest/bitstreams/1266296/retrieve [last accessed March 2020]. Google Scholar
[24] WHO. “Infection prevention and control during health care when novel coronavirus (nCoV) infection is suspected”. Interim guidance. 25 January 2020. WHO 2020. https://apps.who.int/iris/rest/bitstreams/1266296/retrieve. Accessed March 6, 202
[25] WHO. “Rational use of personal protective equipment for coronavirus disease 2019 (COVID-19)”. Interim guidance. 27 January 2020. WHO 2020.

Keywords
Coronavirus, COVID-19, Machine Learning, Malaria, Asthma, Viral Pneumonia, Social distancing, Physical distancing