Paper Title

MALARIA DETECTION USING MACHINE LEARNING WITH K-NN ALGORITHM

Authors

Suseela Devi S , Samantha E , Priyadharshini B , C.P.Jetlin

Keywords

Malaria, IGMS, KNN, Classifier, Screening

Abstract

To detect the presence of Malaria parasites in Human Blood Cells and to determine how much it is affected.

How To Cite

"MALARIA DETECTION USING MACHINE LEARNING WITH K-NN ALGORITHM", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 3, page no.457 - 460, March-2021, Available :https://ijsdr.org/papers/IJSDR2103076.pdf

Issue

Volume 6 Issue 3, March-2021

Pages : 457 - 460

Other Publication Details

Paper Reg. ID: IJSDR_193044

Published Paper Id: IJSDR2103076

Downloads: 000347034

Research Area: Biological Science

Country: Chennai, Tamil Nadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2103076

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2103076

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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