Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales in Colombia

The robust estimate and forecast capability of random forests (RF) has been widely recognized, however this ensemble machine learning method has not been widely used in mosquito-borne disease forecasting. In this study, two sets of RF models were developed at the national (pooled department-level da...

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Detalles Bibliográficos
Autores principales: Zhao, Naizhuo, Charland, Katia, Carabali, Mabel, Nsoesie, Elaine O., Maheu-Giroux, Mathieu, Rees, Erin, Yuan, Mengru, Garcia Balaguera, Cesar, Jaramillo Ramirez, Gloria, Zinszer, Kate
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537891/
https://www.ncbi.nlm.nih.gov/pubmed/32970674
http://dx.doi.org/10.1371/journal.pntd.0008056

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537891/
https://www.ncbi.nlm.nih.gov/pubmed/32970674
http://dx.doi.org/10.1371/journal.pntd.0008056

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