Foodborne Disease Risk Prediction Using Multigraph Structural Long Short-term Memory Networks: Algorithm Design and Validation Study

BACKGROUND: Foodborne disease is a common threat to human health worldwide, leading to millions of deaths every year. Thus, the accurate prediction foodborne disease risk is very urgent and of great importance for public health management. OBJECTIVE: We aimed to design a spatial–temporal risk predic...

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Detalles Bibliográficos
Autores principales: Du, Yi, Wang, Hanxue, Cui, Wenjuan, Zhu, Hengshu, Guo, Yunchang, Dharejo, Fayaz Ali, Zhou, Yuanchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369373/
https://www.ncbi.nlm.nih.gov/pubmed/34338648
http://dx.doi.org/10.2196/29433

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369373/
https://www.ncbi.nlm.nih.gov/pubmed/34338648
http://dx.doi.org/10.2196/29433

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