Visualization of dengue incidences using expectation maximization (EM) algorithm

The aim of this study was to use the geographical information system (GIS) to visualize the dengue incidences on a weekly basis in Selangor, Malaysia. Along with the prediction modeling on data using centroid model and distribution model based on K-means and Expectation Maximization (EM) algorithms...

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Main Authors: Mathur, N., Asirvadam, V.S., Dass, S.C., Gill, B.S.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.20234 /
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011964903&doi=10.1109%2fICIAS.2016.7824047&partnerID=40&md5=1a2347b7f3c5484caaf2e644dd258024
http://eprints.utp.edu.my/20234/
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id utp-eprints.20234
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spelling utp-eprints.202342018-04-22T14:46:37Z Visualization of dengue incidences using expectation maximization (EM) algorithm Mathur, N. Asirvadam, V.S. Dass, S.C. Gill, B.S. The aim of this study was to use the geographical information system (GIS) to visualize the dengue incidences on a weekly basis in Selangor, Malaysia. Along with the prediction modeling on data using centroid model and distribution model based on K-means and Expectation Maximization (EM) algorithms respectively. The results show that weekly hotspot were mainly concentrated in the central part of Petaling district of Selangor. R-GIS(R software) and clustering algorithm were used for year 2014 with several weeks to develop the relation between the visualization and prediction of reported incidences. The results are validated for a small region (Petaling district of Selangor state) in Malaysia and they showed vulnerability hotspot in visualizing the dengue incidences. Thus, the proposed method is able to localize the nature of dengue incidence which can further be utilized for vector disease controlled process. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011964903&doi=10.1109%2fICIAS.2016.7824047&partnerID=40&md5=1a2347b7f3c5484caaf2e644dd258024 Mathur, N. and Asirvadam, V.S. and Dass, S.C. and Gill, B.S. (2017) Visualization of dengue incidences using expectation maximization (EM) algorithm. International Conference on Intelligent and Advanced Systems, ICIAS 2016 . http://eprints.utp.edu.my/20234/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description The aim of this study was to use the geographical information system (GIS) to visualize the dengue incidences on a weekly basis in Selangor, Malaysia. Along with the prediction modeling on data using centroid model and distribution model based on K-means and Expectation Maximization (EM) algorithms respectively. The results show that weekly hotspot were mainly concentrated in the central part of Petaling district of Selangor. R-GIS(R software) and clustering algorithm were used for year 2014 with several weeks to develop the relation between the visualization and prediction of reported incidences. The results are validated for a small region (Petaling district of Selangor state) in Malaysia and they showed vulnerability hotspot in visualizing the dengue incidences. Thus, the proposed method is able to localize the nature of dengue incidence which can further be utilized for vector disease controlled process. © 2016 IEEE.
format Article
author Mathur, N.
Asirvadam, V.S.
Dass, S.C.
Gill, B.S.
spellingShingle Mathur, N.
Asirvadam, V.S.
Dass, S.C.
Gill, B.S.
Visualization of dengue incidences using expectation maximization (EM) algorithm
author_sort Mathur, N.
title Visualization of dengue incidences using expectation maximization (EM) algorithm
title_short Visualization of dengue incidences using expectation maximization (EM) algorithm
title_full Visualization of dengue incidences using expectation maximization (EM) algorithm
title_fullStr Visualization of dengue incidences using expectation maximization (EM) algorithm
title_full_unstemmed Visualization of dengue incidences using expectation maximization (EM) algorithm
title_sort visualization of dengue incidences using expectation maximization (em) algorithm
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011964903&doi=10.1109%2fICIAS.2016.7824047&partnerID=40&md5=1a2347b7f3c5484caaf2e644dd258024
http://eprints.utp.edu.my/20234/
_version_ 1741196339234996224
score 11.62408

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