Assessing machine learning methods in predicting dengue incidence using climatic factors in Region IV-A (CALABARZON), Philippines
Region IV-A or CALABARZON in the Philippines records a high number of dengue cases annually. Several studies worldwide have used machine learning techniques using climatic factors to forecast dengue outbreaks. In this study, the performance of six machine learning models namely (a) Random Forest, (b...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2023
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/etdb_bio/27 https://animorepository.dlsu.edu.ph/context/etdb_bio/article/1028/viewcontent/2023_Castro_Elquiero_Fradejas_Assessing_machine_learning_methods_in_predicting_dengue_incidence_Full_text.pdf |
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| Institution: | De La Salle University |
| Language: | English |