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  Published Paper Details:

  Paper Title

DETECTION AND PREDICTION OF INFECTIOUS DISEASE (CORONA) THROUGH MACHINE LEARNING: A REVIEW

  Authors

  Manoj Kumar Singh,  Dr. Kishan Pal Singh,  Dr. Navin Kumar Tyagi

  Keywords

infectious diseases, ML-Algorithm, Probabilistic Fuzzy Logic, MATLAB, Python

  Abstract


Prevention for infectious diseases is a major challenge in medicine world which focuses on diagnosis and management. While general internists and other medical practitioners handle the most contagious diseases, internists who practice medicine for infectious diseases are also called upon to help diagnose suspected infections and to help control complicated, rare, or complex infections. Infectious disease medicine requires thorough awareness of the incidence and clinical appearance of infectious, virus, fungal and parasitic infections in people, as well as knowledge of antimicrobial agents, antibiotic tolerance, vaccination, and other causes. Immunomodulatory Physicians are better qualified to cope with environmental, occupational and host conditions predisposing to infection, as well as fundamental concepts of epidemiology and dissemination, owing to their experience. For infectious disease practice, there are several distinct models. Any infectious disease doctors operate in a specialist clinic for infectious diseases or may separate their practice in infectious diseases through the practice of general internal medicine. Most doctors of infectious diseases serve as consultants to other doctors, see patients at their office or hospital in consultation, and can even longitudinally accompany patients with specific illnesses for continuing treatment. Many internists who practice infectious diseases operate in environments devoted to caring for diverse classes of patients who need specialized expertise and skills (such as wound care or HIV clinics). Most doctors operate as an infectious disease practice as a hospital, community epidemiologist, or professional in infection control. In academia, infectious disease doctors will offer ongoing outpatient and hospital consultation programmers, perform fundamental infectious disease scientific and clinical study, and teach medical students and tenants.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2105878

  Paper ID - 207212

  Page Number(s) - i262-i272

  Pubished in - Volume 9 | Issue 5 | May 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Manoj Kumar Singh,  Dr. Kishan Pal Singh,  Dr. Navin Kumar Tyagi,   "DETECTION AND PREDICTION OF INFECTIOUS DISEASE (CORONA) THROUGH MACHINE LEARNING: A REVIEW", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.i262-i272, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105878.pdf

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ISSN: 2320-2882
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
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