A novel model for malaria prediction based on ensemble algorithms

BACKGROUND AND OBJECTIVE: Most previous studies adopted single traditional time series models to predict incidences of malaria. A single model cannot effectively capture all the properties of the data structure. However, a stacking architecture can solve this problem by combining distinct algorithms...

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Detalles Bibliográficos
Autores principales: Wang, Mengyang, Wang, Hui, Wang, Jiao, Liu, Hongwei, Lu, Rui, Duan, Tongqing, Gong, Xiaowen, Feng, Siyuan, Liu, Yuanyuan, Cui, Zhuang, Li, Changping, Ma, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6932799/
https://www.ncbi.nlm.nih.gov/pubmed/31877185
http://dx.doi.org/10.1371/journal.pone.0226910

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6932799/
https://www.ncbi.nlm.nih.gov/pubmed/31877185
http://dx.doi.org/10.1371/journal.pone.0226910

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