Experimenting the dendrite cell algorithm for disease outbreak detection model

Mohamad Farhan Mohamad Mohsin, Abdul Razak Hamdan, Azuraliza Abu Bakar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The characteristics of early outbreak signal which are weak and behaved under uncertainties has brought to the development of outbreak detection model based on dendrite cell algorithm. Although the algorithm is proven can improve detection performance, it relies on several parameters which need to be defined before mining. In this study, the most appropriate parameter setting for outbreak detection using dendrite cell algorithm is examined. The experiment includes four parameters; the number of cell cycle update, the number of dendrite cell allowed to be in population, weight, and migration threshold value. To achieve that, an anthrax disease outbreak is chosen as a case study. Two artificial anthrax datasets known as WSARE7 and WSARE58 are taken as experiment data. The experiment is measured based on five metrics; detection rate, specificity, false alarm rate, accuracy, and time taken to produce result. Besides that, a comparison is made with Cumulative Sum, Exponentially-weighted Moving Average, and Multi Layer Perceptron. From the experiment, the best parameter setting for anthrax outbreak using dendrite cell algorithm is identified whereby it proven can helps the model to produce a good detection result between detection rate and false alarm rate. Since each outbreak disease carries different outbreak characteristic, the parameter setting for different outbreak might be different.

Original languageEnglish
Title of host publicationProceedings of 2014 Science and Information Conference, SAI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages415-421
Number of pages7
ISBN (Print)9780989319317
DOIs
Publication statusPublished - 7 Oct 2014
Event2014 Science and Information Conference, SAI 2014 - London
Duration: 27 Aug 201429 Aug 2014

Other

Other2014 Science and Information Conference, SAI 2014
CityLondon
Period27/8/1429/8/14

Fingerprint

Experiments
Multilayer neural networks
Cells
Uncertainty

Keywords

  • anthrax
  • dendrite cell algorithm
  • disease outbreak

ASJC Scopus subject areas

  • Information Systems

Cite this

Mohsin, M. F. M., Hamdan, A. R., & Abu Bakar, A. (2014). Experimenting the dendrite cell algorithm for disease outbreak detection model. In Proceedings of 2014 Science and Information Conference, SAI 2014 (pp. 415-421). [6918221] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAI.2014.6918221

Experimenting the dendrite cell algorithm for disease outbreak detection model. / Mohsin, Mohamad Farhan Mohamad; Hamdan, Abdul Razak; Abu Bakar, Azuraliza.

Proceedings of 2014 Science and Information Conference, SAI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 415-421 6918221.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohsin, MFM, Hamdan, AR & Abu Bakar, A 2014, Experimenting the dendrite cell algorithm for disease outbreak detection model. in Proceedings of 2014 Science and Information Conference, SAI 2014., 6918221, Institute of Electrical and Electronics Engineers Inc., pp. 415-421, 2014 Science and Information Conference, SAI 2014, London, 27/8/14. https://doi.org/10.1109/SAI.2014.6918221
Mohsin MFM, Hamdan AR, Abu Bakar A. Experimenting the dendrite cell algorithm for disease outbreak detection model. In Proceedings of 2014 Science and Information Conference, SAI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 415-421. 6918221 https://doi.org/10.1109/SAI.2014.6918221
Mohsin, Mohamad Farhan Mohamad ; Hamdan, Abdul Razak ; Abu Bakar, Azuraliza. / Experimenting the dendrite cell algorithm for disease outbreak detection model. Proceedings of 2014 Science and Information Conference, SAI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 415-421
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