Feature selection methods based on meteorological data for prediction of leptospirosis occurrence in Seremban, Malaysia

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Feature selection methods based on meteorological data for prediction of leptospirosis occurrence in Seremban, Malaysia

The use of predictive model is useful for preventing and controlling disease out-break. This can be done by analysing weather behavior in relation to disease occurrence. In Malaysia, leptospirosis disease is the one of the higher number of cases that reported for past 7 years, and the absence of und...

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Bibliographic Details
Main Author:	Rahmat, Mohamad Fariq
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Imaging systems in meteorology Meteorological instruments - Malaysia Leptospirosis
Online Access:	http://psasir.upm.edu.my/id/eprint/104249/ http://psasir.upm.edu.my/id/eprint/104249/1/MOHAMAD%20FARIQ%20BIN%20RAHMAT%20-%20IR.pdf

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