Outbreak detection model based on danger theory
In outbreak detection, one of the key issues is the need to deal with the weakness of early
outbreak signals because this causes the detection model to have has less capability in …
outbreak signals because this causes the detection model to have has less capability in …
Synthetic data generators for the evaluation of biosurveillance outbreak detection algorithms
D Levin, PD Finley - 2018 - osti.gov
The research and development of new algorithmic and statistical methods of outbreak
detection is an ongoing research priority in the field of biosurveillance. The early detection of …
detection is an ongoing research priority in the field of biosurveillance. The early detection of …
Potential for using climate forecasts in spatio-temporal prediction of dengue fever incidence in Malaysia submitted
N Che Him - 2015 - eprints.uthm.edu.my
Dengue fever is a viral infection transmitted by the bite of female Aedes aegypti mosquitoes.
It is estimated that nearly 40% of the world's population is now at risk from Dengue in over …
It is estimated that nearly 40% of the world's population is now at risk from Dengue in over …
[图书][B] Potential for using climate forecasts in spatio-temporal prediction of dengue fever incidence in Malaysia
NC Him - 2016 - search.proquest.com
Dengue fever is a viral infection transmitted by the bite of female Aedes aegypti mosquitoes.
It is estimated that nearly 40% of the world's population is now at risk from Dengue in over …
It is estimated that nearly 40% of the world's population is now at risk from Dengue in over …
[PDF][PDF] Integration of the dendritic cell algorithm with K-means clustering
The dendritic cell algorithm is an effective technique to detect anomalies in time series
applications. However, the algorithm is less effective when it mines a general classification …
applications. However, the algorithm is less effective when it mines a general classification …
Integration Of The Dendritic Cell Algorithm With K-Means Clustering.
MF Mohamad Mohsin, AA Bakar… - … Journal of Advances …, 2014 - search.ebscohost.com
The dendritic cell algorithm is an effective technique to detect anomalies in time series
applications. However, the algorithm is less effective when it mines a general classification …
applications. However, the algorithm is less effective when it mines a general classification …
Experimenting the dendrite cell algorithm for disease outbreak detection model
MFM Mohsin, AR Hamdan… - 2014 Science and …, 2014 - ieeexplore.ieee.org
The characteristics of early outbreak signal which are weak and behaved under
uncertainties has brought to the development of outbreak detection model based on …
uncertainties has brought to the development of outbreak detection model based on …
Experimenting the dendrite cell algorithm for disease outbreak detection model
The characteristics of early outbreak signal which are weak and behaved under
uncertainties has brought to the development of outbreak detection model based on …
uncertainties has brought to the development of outbreak detection model based on …