Comparing machine learning with case-control models to identify confirmed dengue cases

In recent decades, the global incidence of dengue has increased. Affected countries have responded with more effective surveillance strategies to detect outbreaks early, monitor the trends, and implement prevention and control measures. We have applied newly developed machine learning approaches to...

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Detalles Bibliográficos
Autores principales: Ho, Tzong-Shiann, Weng, Ting-Chia, Wang, Jung-Der, Han, Hsieh-Cheng, Cheng, Hao-Chien, Yang, Chun-Chieh, Yu, Chih-Hen, Liu, Yen-Jung, Hu, Chien Hsiang, Huang, Chun-Yu, Chen, Ming-Hong, King, Chwan-Chuen, Oyang, Yen-Jen, Liu, Ching-Chuan
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/PMC7654779/
https://www.ncbi.nlm.nih.gov/pubmed/33170848
http://dx.doi.org/10.1371/journal.pntd.0008843

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654779/
https://www.ncbi.nlm.nih.gov/pubmed/33170848
http://dx.doi.org/10.1371/journal.pntd.0008843

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