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

• 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
• Institution: Ateneo De Manila University

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...