Cristin-resultat-ID: 1752516
Sist endret: 26. november 2019 14:01
NVI-rapporteringsår: 2019
Resultat
Vitenskapelig artikkel
2019

K-CUSUM: Cluster Detection Mechanism in EDMON

Bidragsytere:
  • Prosper Yeng
  • Ashenafi Zebene Woldaregay og
  • Gunnar Hartvigsen

Tidsskrift

Linköping Electronic Conference Proceedings
ISSN 1650-3686
e-ISSN 1650-3740
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2019
Volum: 161
Hefte: 024
Sider: 141 - 147

Beskrivelse Beskrivelse

Tittel

K-CUSUM: Cluster Detection Mechanism in EDMON

Sammendrag

The main goal of the EDMON (Electronic Disease Monitoring Network) project is to detect the spread of contagious diseases at the earliest possible moment, and potentially before people know that they have been infected. The results shall be visualized on real-time maps as well as presented in digital communication. In this paper, a hybrid of K-nearness Neighbor (KNN) and cumulative sum (CUSUM), known as K-CUSUM, were explored and implemented with a prototype approach. The KNN algorithm, which was implemented in the K- CUSUM, recorded 99.52% accuracy when it was tested with simulated dataset containing geolocation coordinates among other features and SckitLearn KNN algorithm achieved an accuracy of 93.81% when it was tested with the same dataset. After injection of spikes of known outbreaks in the simulated data, the CUSUM module was totally specific and sensitive by correctly identifying all outbreaks and non-outbreak clusters. Suitable methods for obtaining a balance point of anonymizing geolocation attributes towards obscuring the privacy and confidentiality of diabetes subjects’ trajectories while maintaining the data requirements for public good, in terms of disease surveillance, remains a challenge.

Bidragsytere

Prosper Yeng

  • Tilknyttet:
    Forfatter
    ved Institutt for informatikk ved UiT Norges arktiske universitet

Ashenafi Zebene Woldaregay

  • Tilknyttet:
    Forfatter
    ved Institutt for informatikk ved UiT Norges arktiske universitet
Aktiv cristin-person

Gunnar Hartvigsen

  • Tilknyttet:
    Forfatter
    ved Institutt for informatikk ved UiT Norges arktiske universitet
1 - 3 av 3