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

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

BackgroundFoodborne 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. ObjectiveWe aimed to desig...

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Bibliographic Details
Main Authors: Yi Du, Hanxue Wang, Wenjuan Cui, Hengshu Zhu, Yunchang Guo, Fayaz Ali Dharejo, Yuanchun Zhou
Format: Article
Language:English
Published: JMIR Publications 2021-08-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2021/8/e29433

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https://medinform.jmir.org/2021/8/e29433

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