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

MLA

Zhao, Naizhuo, et al. “Machine Learning and Dengue Forecasting: Comparing Random Forests and Artificial Neural Networks for Predicting Dengue Burden at National and Sub-National Scales in Colombia.” PLoS Neglected Tropical Diseases, vol. 14, no. 9, Sept. 2020, p. e0008056. EBSCOhost, https://doi.org/10.1371/journal.pntd.0008056.

APA

Zhao, N., Charland, K., Carabali, M., Nsoesie, E. O., Maheu-Giroux, M., Rees, E., Yuan, M., Garcia Balaguera, C., Jaramillo Ramirez, G., & Zinszer, K. (2020). Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales in Colombia. PLoS Neglected Tropical Diseases, 14(9), e0008056. https://doi.org/10.1371/journal.pntd.0008056

Chicago

Zhao, Naizhuo, Katia Charland, Mabel Carabali, Elaine O Nsoesie, Mathieu Maheu-Giroux, Erin Rees, Mengru Yuan, Cesar Garcia Balaguera, Gloria Jaramillo Ramirez, and Kate Zinszer. 2020. “Machine Learning and Dengue Forecasting: Comparing Random Forests and Artificial Neural Networks for Predicting Dengue Burden at National and Sub-National Scales in Colombia.” PLoS Neglected Tropical Diseases 14 (9): e0008056. doi:10.1371/journal.pntd.0008056.