Dengue fever incidence forecasting : methodological approach in comparing SVR and LSTM models for design and implementation of a web-based forecasting framework

Dengue fever incidence forecasting : methodological approach in comparing SVR and LSTM models for design and implementation of a web-based forecasting framework

Dengue Fever is a mosquito-borne viral disease that has been a significant public health concern in the Philippines and many other tropical and subtropical regions in the world [42]. Among the numerous efforts in controlling Dengue Fever is strengthening of the countrys health surveillance systems p...

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Bibliographic Details
Main Author: CO, ISABELLE-LYNN
Format: text
Published: Archīum Ateneo 2018
Subjects:
Dengue
Public health surveillance
System design
Data mining
Machine learning
Communicable diseases > Transmission > Prevention
Medical informatics.
Online Access:https://archium.ateneo.edu/theses-dissertations/166
http://rizalls.lib.admu.edu.ph/#section=resource&resourceid=1535947331&currentIndex=0&view=fullDetailsDetailsTab
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Institution: Ateneo De Manila University

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https://archium.ateneo.edu/theses-dissertations/166
http://rizalls.lib.admu.edu.ph/#section=resource&resourceid=1535947331&currentIndex=0&view=fullDetailsDetailsTab

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