Predicting dengue outbreaks using approximate entropy algorithm and pattern recognition.

@article{Chen2013PredictingDO,
  title={Predicting dengue outbreaks using approximate entropy algorithm and pattern recognition.},
  author={Chia-Chern Chen and Hsien-Chang Chang},
  journal={The Journal of infection},
  year={2013},
  volume={67 1},
  pages={65-71}
}
OBJECTIVES The prediction of dengue outbreaks is a critical concern in many countries. However, the setup of an ideal prediction system requires establishing numerous monitoring stations and performing data analysis, which are costly, time-consuming, and may not achieve the desired results. In this study, we developed a novel method for predicting impending dengue fever outbreaks several weeks prior to their occurrence. METHODS By reversing moving approximate entropy algorithm and pattern… CONTINUE READING

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