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Volume 9, Issue 2 (6-2023)
jhehp 2023, 9(2): 55-62 |
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Sabouri E, Saburi A, Gerami R, Zeraati T, Saburi E, Ghanei M. Computerized Intelligence and Mathematical Models for COVID-19 Diagnosis: A Review. jhehp 2023; 9 (2) :55-62
URL: http://jhehp.zums.ac.ir/article-1-579-en.html
URL: http://jhehp.zums.ac.ir/article-1-579-en.html
1- Student research committee of Mashhad University of Medical Sciences.
2- Chemical Injuries Research Center, Systems Biology & Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
3- Department of Radiology, Faculty of Medicine, AJA University of Medical Sciences, Tehran, Iran.
4- Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Renal transplantation Complications Research Center, internal medicine, Mashhad, Iran.
5- Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
2- Chemical Injuries Research Center, Systems Biology & Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
3- Department of Radiology, Faculty of Medicine, AJA University of Medical Sciences, Tehran, Iran.
4- Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Renal transplantation Complications Research Center, internal medicine, Mashhad, Iran.
5- Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Abstract: (1199 Views)
Background: The COVID-19 infection, with its unknown aspects, has posed numerous challenges to public health systems worldwide, rapidly disseminating across borders. In the context of diagnosis, researchers are endeavoring to enhance diagnosis accuracy through improved decision-making processes. The present study aimed to conduct a comprehensive review of the benefits of using computerized intelligence and mathematical models for diagnosing COVID-19 infections.
Methods: We searched for relevant references on the PubMed and Google Scholar databases, with inclusion criteria and search strategies utilized to identify full-text articles in English. A narrative report of our findings was presented based on the synthesis of our data.
Result: The advantageous application of computerized intelligence has been approved in various medical domains, including prevention, diagnosis, and risk assessment.
Conclusion: Collaborative efforts are anticipated to enhance pandemic control with increased precision and reduced costs.
Methods: We searched for relevant references on the PubMed and Google Scholar databases, with inclusion criteria and search strategies utilized to identify full-text articles in English. A narrative report of our findings was presented based on the synthesis of our data.
Result: The advantageous application of computerized intelligence has been approved in various medical domains, including prevention, diagnosis, and risk assessment.
Conclusion: Collaborative efforts are anticipated to enhance pandemic control with increased precision and reduced costs.
Type of Study: Review Article |
Subject:
Health Promotion
Received: 2023/03/11 | Accepted: 2023/05/1 | Published: 2023/06/10
Received: 2023/03/11 | Accepted: 2023/05/1 | Published: 2023/06/10
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