Detection of Malaria Using Machine Learning

Abstract

“Malaria is a blood-borne disease caused by Plasmodium-borne diseases. Common methods of detecting malaria include preparing a blood smear and examining the contaminated blood smear using a microscope to detect Plasmodium virus infection, which relies heavily on the techniques studied. At the bottom of this paper, with the aim of discriminating against malaria parasites, shallow study tools are used against traditional methods, which have other pitfalls related to understanding and disunity. The described method determines the spread of malaria with the help of photographs taken of patients without blood transfusions or the need for specialists.

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