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Detection of Dengue Fever by Using K-Means Clustering With Svm Classifier
Subject area: Science,Engineering and Technology · Area of research: Digital Image Processing
Abstract
Dengue is a major health problem in tropical and Asia-Pacific regions. Dengue is a mosquito-borne infection that can lead to a severe flu-like illness. It is caused by four different viruses and spread by Aides mosquitoes. According to World Health Organization (WHO) every year nearly 400 million people are affected by Dengue Fever. This project uses blood smear images with white blood cells classification. Here based on White Blood Cells (WBC) classification it is going to detect whether a person is infected with dengue or not. The proposed method is implemented with the help of K-Means clustering with Support Vector Machine (SVM) classifier. The proposed K-Means clustering with SVM classifier gives better results.
Keywords
blood smear images, K-Means clustering, SVM classifier.
References
[1] Dengue Fever. 15 Jan 2016. Available from:http://www.nhp.gov.in/disease/musculo-skeletal-bone-joints-/dengue-fever
[2] Dengue Fever. 15 Jan 2016. Available from:https://en.wikipedia.org/wiki/Dengue_ fever#Cause
[3] Blood Smear preperation procedure. 12 Jan 2015. Available from: https://en.wikipedia.org/wiki/Blood_ film#Preparation
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[5] M. Z. Othman,., and Ali, Alaa, B.," Segmentation and Feature Extraction of Lymphocytes WBC using Microscopic Images", International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181,Vol. 3 Issue 12, December-2014.
[6] A. Gebejes, A. and Huertas, R.," Texture Characterization Based on Grey- Level Co-occurrence Matrix", Granada: Conference of Informatics and Management Sciences, 2013.
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[8] A. Gebejes, A. and Huertas, R.," Texture Characterization Based on Grey-Level Co-occurrence Matrix", Granada: Conference of Informatics andManagement Sciences, 2013.
[9] K-Means clustering with svm classifier available:https://ieeexplore.ieee.org/document/8528782
[10] A. Ben-Hur, C.S. Ong, S. Sonnenburg, B. Schölkopf, G. Rätsch, "Support vector machines and kernels for computational biology", PLoS computational biology, vol. 4, no. 10, pp. e1000173, 2008.
How to cite this paper
@article{1702265,
author = {Ardhala Prabhavathi, Bommareddy Chandra Lekha, Aamani Narra, Adapa Navya Santoshi},
title = {Detection of Dengue Fever by Using K-Means Clustering With Svm Classifier},
journal = {Iconic Research And Engineering Journals},
year = {2020},
volume = {3},
number = {11},
pages = {17-20},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1702265.pdf},
abstract = {Dengue is a major health problem in tropical and Asia-Pacific regions. Dengue is a mosquito-borne infection that can lead to a severe flu-like illness. It is caused by four different viruses and spread by Aides mosquitoes. According to World Health Organization (WHO) every year nearly 400 million people are affected by Dengue Fever. This project uses blood smear images with white blood cells classification. Here based on White Blood Cells (WBC) classification it is going to detect whether a person is infected with dengue or not. The proposed method is implemented with the help of K-Means clustering with Support Vector Machine (SVM) classifier. The proposed K-Means clustering with SVM classifier gives better results.},
keywords = {blood smear images, K-Means clustering, SVM classifier.},
month = {May},
}