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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2021-08-01
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| Series: | JMIR Medical Informatics |
| Online Access: | https://medinform.jmir.org/2021/8/e29433 |