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...
| المؤلف الرئيسي: | Rahmat, Mohamad Fariq |
|---|---|
| التنسيق: | أطروحة |
| اللغة: | الإنجليزية |
| منشور في: |
2019
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://psasir.upm.edu.my/id/eprint/104249/1/MOHAMAD%20FARIQ%20BIN%20RAHMAT%20-%20IR.pdf |
مواد مشابهة
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مواد مشابهة
-
Modeling of Meteorological Parameters for Jordan
حسب: Ahmed Alghoul, Mohammad
منشور في: (1999) -
Modeling of Meteorological Data for Coastal Regions of Oman
حسب: Mohammed Akaak, Ahmed
منشور في: (1999) -
Near Real Time Processing of NOAA AVHRR Satellite Data
حسب: Hassan, Quazi Khalid
منشور في: (1998) -
Modeling of Meteorological Parameters for Libya
حسب: Sh-Eldin, Mohammed Ali
منشور في: (2003) -
Predicting atmospheric humidity and temperature based on satellite signal field strength measurements
حسب: Sairi, Mohd Izza
منشور في: (2015)