An Experimental Study on Cholera Modeling in Hanoi

  • Ngoc-Anh Thi Le
  • Thi-Oanh Ngo
  • Huyen-Trang Thi Lai
  • Hoang-Quynh Le
  • Hai-Chau Nguyen
  • Quang-Thuy Ha
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9622)

Abstract

Cholera modeling for prediction Cholera state is the research topic is specially considered by researchers. An experimental frame for Cholera modeling based on using data mining techniques is showed in this paper. In the Data Preparation Phase, two versions of data presentation and a solution for feature selection are considered. Moreover, both cases of two-value Cholera state and three-value Cholera state also investigated. Experimental results show that the global presentation is better than the local presentation, F1 measures are between 0.79 and 0.86, and the target variable has correlation with climate condition variables in some cases.

Keywords

Cholera modeling Feature selection Global data preparation Local data preparation Prediction cholera state 

Notes

Acknowledgments

This work was supported in part by Hanoi Grant 01C-08/-8-2014-2, VNU Grant QG-15-22.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Ngoc-Anh Thi Le
    • 1
  • Thi-Oanh Ngo
    • 2
  • Huyen-Trang Thi Lai
    • 2
  • Hoang-Quynh Le
    • 2
  • Hai-Chau Nguyen
    • 2
  • Quang-Thuy Ha
    • 2
  1. 1.Hanoi Medical UniversityHanoiVietnam
  2. 2.VNU-University of Engineering and Technology (UET)Cau Giay, HanoiVietnam

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