Prediction of hepatitis E using machine learning models

BACKGROUND: Accurate and reliable predictions of infectious disease can be valuable to public health organizations that plan interventions to decrease or prevent disease transmission. A great variety of models have been developed for this task. However, for different data series, the performance of...

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Detalles Bibliográficos
Autores principales: Guo, Yanhui, Feng, Yi, Qu, Fuli, Zhang, Li, Yan, Bingyu, Lv, Jingjing
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/PMC7497991/
https://www.ncbi.nlm.nih.gov/pubmed/32941452
http://dx.doi.org/10.1371/journal.pone.0237750

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7497991/
https://www.ncbi.nlm.nih.gov/pubmed/32941452
http://dx.doi.org/10.1371/journal.pone.0237750

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