Negative selection algorithm for dengue outbreak detection

Authors

MARYAM MOUSAVI
AZURALIZA ABU BAKAR
SUHAILA ZAINUDIN
ZALIZAH AWANG LONG
MAZRURA SAHANI
MOHAMMADMAHDI VAKILIAN

DOI

10.3906/elk-1206-91

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

Dengue outbreak, artificial immune system, negative selection algorithm

First Page

2345

Last Page

2356

Recommended Citation

MOUSAVI, MARYAM; BAKAR, AZURALIZA ABU; ZAINUDIN, SUHAILA; LONG, ZALIZAH AWANG; SAHANI, MAZRURA; and VAKILIAN, MOHAMMADMAHDI (2013) "Negative selection algorithm for dengue outbreak detection," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 21: No. 8, Article 17. https://doi.org/10.3906/elk-1206-91
Available at: https://journals.tubitak.gov.tr/elektrik/vol21/iss8/17