Negative selection algorithm for dengue outbreak detection

Maryam Mousavi, Azuraliza Abu Bakar, Suhaila Zainudin, Zalizah Awang Long, Mazrura Sahani, Mohammadmahdi Vakilian

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Dengue is a critical communicable and vector-borne disease and is becoming a serious concern in Malaysia. It is important to have an early detection system that could provide immediate action, such as the control of dengue transmission at a specific location. However, the available strategy and action may give long-term effects to the community since inaccurate decision making or prediction may lead to other circumstances. Moreover, the need to have a system that can detect the outbreak in a reasonable amount of time is critical. In this study, a nature-inspired computing technique, the artificial immune system (AIS), is used for dengue outbreak detection. One of the variants of the AIS algorithms, called the negative selection algorithm (NSA), has been widely applied in anomaly detection and fault detection. This study aims to employ the NSA for dengue outbreak detection.

Original languageEnglish
Pages (from-to)2345-2356
Number of pages12
JournalTurkish Journal of Electrical Engineering and Computer Sciences
Volume21
Issue numberSUPPL. 2
DOIs
Publication statusPublished - 2013

Fingerprint

Immune system
Fault detection
Decision making

Keywords

  • Artificial immune system
  • Dengue outbreak
  • Negative selection algorithm

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science(all)

Cite this

Negative selection algorithm for dengue outbreak detection. / Mousavi, Maryam; Abu Bakar, Azuraliza; Zainudin, Suhaila; Awang Long, Zalizah; Sahani, Mazrura; Vakilian, Mohammadmahdi.

In: Turkish Journal of Electrical Engineering and Computer Sciences, Vol. 21, No. SUPPL. 2, 2013, p. 2345-2356.

Research output: Contribution to journalArticle

@article{7ce394c6bb94461fa19047095aa103d7,
title = "Negative selection algorithm for dengue outbreak detection",
abstract = "Dengue is a critical communicable and vector-borne disease and is becoming a serious concern in Malaysia. It is important to have an early detection system that could provide immediate action, such as the control of dengue transmission at a specific location. However, the available strategy and action may give long-term effects to the community since inaccurate decision making or prediction may lead to other circumstances. Moreover, the need to have a system that can detect the outbreak in a reasonable amount of time is critical. In this study, a nature-inspired computing technique, the artificial immune system (AIS), is used for dengue outbreak detection. One of the variants of the AIS algorithms, called the negative selection algorithm (NSA), has been widely applied in anomaly detection and fault detection. This study aims to employ the NSA for dengue outbreak detection.",
keywords = "Artificial immune system, Dengue outbreak, Negative selection algorithm",
author = "Maryam Mousavi and {Abu Bakar}, Azuraliza and Suhaila Zainudin and {Awang Long}, Zalizah and Mazrura Sahani and Mohammadmahdi Vakilian",
year = "2013",
doi = "10.3906/elk-1206-91",
language = "English",
volume = "21",
pages = "2345--2356",
journal = "Turkish Journal of Electrical Engineering and Computer Sciences",
issn = "1300-0632",
publisher = "Turkiye Klinikleri",
number = "SUPPL. 2",

}

TY - JOUR

T1 - Negative selection algorithm for dengue outbreak detection

AU - Mousavi, Maryam

AU - Abu Bakar, Azuraliza

AU - Zainudin, Suhaila

AU - Awang Long, Zalizah

AU - Sahani, Mazrura

AU - Vakilian, Mohammadmahdi

PY - 2013

Y1 - 2013

N2 - Dengue is a critical communicable and vector-borne disease and is becoming a serious concern in Malaysia. It is important to have an early detection system that could provide immediate action, such as the control of dengue transmission at a specific location. However, the available strategy and action may give long-term effects to the community since inaccurate decision making or prediction may lead to other circumstances. Moreover, the need to have a system that can detect the outbreak in a reasonable amount of time is critical. In this study, a nature-inspired computing technique, the artificial immune system (AIS), is used for dengue outbreak detection. One of the variants of the AIS algorithms, called the negative selection algorithm (NSA), has been widely applied in anomaly detection and fault detection. This study aims to employ the NSA for dengue outbreak detection.

AB - Dengue is a critical communicable and vector-borne disease and is becoming a serious concern in Malaysia. It is important to have an early detection system that could provide immediate action, such as the control of dengue transmission at a specific location. However, the available strategy and action may give long-term effects to the community since inaccurate decision making or prediction may lead to other circumstances. Moreover, the need to have a system that can detect the outbreak in a reasonable amount of time is critical. In this study, a nature-inspired computing technique, the artificial immune system (AIS), is used for dengue outbreak detection. One of the variants of the AIS algorithms, called the negative selection algorithm (NSA), has been widely applied in anomaly detection and fault detection. This study aims to employ the NSA for dengue outbreak detection.

KW - Artificial immune system

KW - Dengue outbreak

KW - Negative selection algorithm

UR - http://www.scopus.com/inward/record.url?scp=84889582746&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84889582746&partnerID=8YFLogxK

U2 - 10.3906/elk-1206-91

DO - 10.3906/elk-1206-91

M3 - Article

AN - SCOPUS:84889582746

VL - 21

SP - 2345

EP - 2356

JO - Turkish Journal of Electrical Engineering and Computer Sciences

JF - Turkish Journal of Electrical Engineering and Computer Sciences

SN - 1300-0632

IS - SUPPL. 2

ER -