A CLOUD-BASED PROTOTYPE IMPLEMENTATION
OF A DISEASE OUTBREAK NOTIFICATION SYSTEM
F. Azzedin. International Journal of Computer Science, Engineering and Applications (IJCSEA), 5 (2):
15-31(April 2015)
DOI: 10.5121/ijcsea.2015.5202
Abstract
This paper describes the design, prototype implementation and performance characteristics of a Disease Outbreak Notification System (DONS). The prototype was implemented in a hybrid cloud environment as an online/real-time system. It detects potential outbreaks of both listed and unknown diseases. It uses data mining techniques to choose the correct algorithm to detect outbreaks of unknown diseases. Our experiments showed that the proposed system has very high accuracy rate in choosing the correct detection algorithm. To our best knowledge, DONS is the first of its kind to detect outbreaks of unknown diseases using data mining techniques
%0 Journal Article
%1 azzedin2015cloudbased
%A Azzedin, Farag
%D 2015
%J International Journal of Computer Science, Engineering and Applications (IJCSEA)
%K Arabi Disease Notification Outbreak Prototype Saudi System
%N 2
%P 15-31
%R 10.5121/ijcsea.2015.5202
%T A CLOUD-BASED PROTOTYPE IMPLEMENTATION
OF A DISEASE OUTBREAK NOTIFICATION SYSTEM
%U http://airccse.org/journal/ijcsea/current2015.html
%V 5
%X This paper describes the design, prototype implementation and performance characteristics of a Disease Outbreak Notification System (DONS). The prototype was implemented in a hybrid cloud environment as an online/real-time system. It detects potential outbreaks of both listed and unknown diseases. It uses data mining techniques to choose the correct algorithm to detect outbreaks of unknown diseases. Our experiments showed that the proposed system has very high accuracy rate in choosing the correct detection algorithm. To our best knowledge, DONS is the first of its kind to detect outbreaks of unknown diseases using data mining techniques
@article{azzedin2015cloudbased,
abstract = {This paper describes the design, prototype implementation and performance characteristics of a Disease Outbreak Notification System (DONS). The prototype was implemented in a hybrid cloud environment as an online/real-time system. It detects potential outbreaks of both listed and unknown diseases. It uses data mining techniques to choose the correct algorithm to detect outbreaks of unknown diseases. Our experiments showed that the proposed system has very high accuracy rate in choosing the correct detection algorithm. To our best knowledge, DONS is the first of its kind to detect outbreaks of unknown diseases using data mining techniques},
added-at = {2019-11-01T13:12:16.000+0100},
author = {Azzedin, Farag},
biburl = {https://www.bibsonomy.org/bibtex/2a41ef9e0abb8d72e08cdb4c7ae570b86/ijcsea},
doi = {10.5121/ijcsea.2015.5202},
interhash = {e510c093c7584ca1e2a2d7a50e3c70e0},
intrahash = {a41ef9e0abb8d72e08cdb4c7ae570b86},
journal = {International Journal of Computer Science, Engineering and Applications (IJCSEA) },
keywords = {Arabi Disease Notification Outbreak Prototype Saudi System},
language = {English},
month = {April},
number = 2,
pages = {15-31},
timestamp = {2019-11-01T13:12:16.000+0100},
title = {A CLOUD-BASED PROTOTYPE IMPLEMENTATION
OF A DISEASE OUTBREAK NOTIFICATION SYSTEM },
url = {http://airccse.org/journal/ijcsea/current2015.html},
volume = 5,
year = 2015
}