Data mining and machine learning approaches for prediction modelling of schistosomiasis disease vectors: Epidemic disease prediction modelling

This research presents viable solutions for prediction modelling of schistosomiasis disease based on vector density. Novel training models proposed in this work aim to address various aspects of interest in the artificial intelligence applications domain. Topics discussed include data imputation, se...

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Detalles Bibliográficos
Autores principales: Fusco, Terence, Bi, Yaxin, Wang, Haiying, Browne, Fiona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224118/
https://www.ncbi.nlm.nih.gov/pubmed/33727985
http://dx.doi.org/10.1007/s13042-019-01029-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224118/
https://www.ncbi.nlm.nih.gov/pubmed/33727985
http://dx.doi.org/10.1007/s13042-019-01029-x

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