Blar i forfatter "Yeng, Prosper"

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    • Cluster Detection Mechanisms for Syndromic Surveillance Systems: Systematic Review and Framework Development 

      Yeng, Prosper; Woldaregay, Ashenafi Zebene; Solvoll, Terje Geir; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-05-26)
      Background:The time lag in detecting disease outbreaks remains a threat to global health security. The advancement of technology has made health-related data and other indicator activities easily accessible for syndromic surveillance of various datasets. At the heart of disease surveillance lies the clustering algorithm, which groups data with similar characteristics (spatial, temporal, or both) to ...

    • Data-Driven and Artificial Intelligence (AI) Approach for Modelling and Analyzing Healthcare Security Practice: A Systematic Review 

      Yeng, Prosper; Nweke, Livinus Obiora; Woldaregay, Ashenafi Zebene; Yang, Bian; Snekkenes, Einar Arthur (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03)
      Data breaches in healthcare continue to grow exponentially, calling for a rethinking into better approaches of security measures towards mitigating the menace. Traditional approaches including technological measures, have significantly contributed to mitigating data breaches but what is still lacking is the development of the “human firewall,” which is the conscious care security practices of the ...

    • K-CUSUM: Cluster Detection Mechanism in EDMON 

      Yeng, Prosper; Woldaregay, Ashenafi Zebene; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-11)
      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 ...