Online ISSN: 2515-8260

ESTABLISHMENT OF MACHINE LEARNING BASED MATHEMATICAL MODELING FOR PREDICTION OF MALARIA AND PNEUMONIA DISEASE

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Annu, Ph.D. Scholar1 , Dr. Prof. R. S. Parihar

Abstract

Infectious disease treatment is an internal medicine sub-specialty that specializes on the prevention and control of infections. In addition to catching the more common illnesses, internists often manage infections that are impossible to heal. Infectious disease drugs include understanding of the history of infectious, fungus, fungal and parasitic infections in humans, as well as knowledge of antibiotics, vaccine, and other diseases. Immunomodulating doctors are ideally equipped to deal with natural, occupational and host factors, causing vulnerability to infection, as well as basic principles in epidemiology and diffusing. For disease preventive practices, there are several separate models. Infectious disease physicians work in specialized clinic or perform a specialization such as internal medicine under general anesthesia. Most physicians of infectious diseases act as advisors to other specialists, see patients at their offices or hospitals in consultation, and even follow patients when giving care for their illnesses Many experts in the infectious diseases conduct their specialty with appropriate medical facilities. Some practitioners serve as an infectious disease doctors as well as a medical epidemiologists or infection prevention specialists. In academia, infectious disease doctors give continuing surgical and patient care consulting programmers, conduct science and clinical analysis, and educate medical students and tenants. Data collection is getting ever more sophisticated and diverse, because researchers need to connect with the public in order to make judgments regarding public health protection. There were many issues in our review: the ability to understand and utilize visualizations; the role of customer trust and organizational support in the application of these methods. Interoperability has now been a big concern.

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