Detection of Malaria Using Machine Learning

Author:

Sawale Prof. S. T.1,Mahajan Apeksha P.1,Borle Shital B.1

Affiliation:

1. Anuradha Engineering College, Chikhli, Maharashtra, India

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.

Publisher

Naksh Solutions

Reference5 articles.

1. World Health Organization | World Malaria Report. 2015. URL: www.who.int/malaria/publications/world-malaria-report-2015.

2. Blycroft Publishing | Africa & Middle East Mobile Factbook 2Q 2014. URL:www.africantelecomsnews.com.

3. Dolgin, E.. Portable pathology for Africa. IEEE Spectrum 2015;52(1):37–39.

4. Centers for Disease Control and Prevention. 2016. URL: www.cdc.gov.

5. Kaewkamnerd, S., Intarapanich, A., Pannarat, M., Chaotheing, S., Uthaipibull, C., Tongsima, S.. Detection and classification device for malaria parasites in thick-blood films. In: 2011 IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS); vol. 1. 2011, p. 435–438

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