This paper is in the following e-collection/theme issue:

Machine Learning (1465) Artificial Intelligence (1371) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185) Memory (43)

Published on in Vol 9, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29433, first published .
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

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

Authors of this article:

Yi Du1, 2 Author Orcid Image ;   Hanxue Wang1, 2 Author Orcid Image ;   Wenjuan Cui1 Author Orcid Image ;   Hengshu Zhu3 Author Orcid Image ;   Yunchang Guo4 Author Orcid Image ;   Fayaz Ali Dharejo1, 2 Author Orcid Image ;   Yuanchun Zhou1, 2 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

Journals

  1. Du Y, Guo Y. Machine learning techniques and research framework in foodborne disease surveillance system. Food Control 2022;131:108448 View
  2. Zhang K, Hu B, Zhou F, Song Y, Zhao X, Huang X. Graph-based structural knowledge-aware network for diagnosis assistant. Mathematical Biosciences and Engineering 2022;19(10):10533 View
  3. S. P, A. S, Das B. Design and Bulk Sensitivity Analysis of a Silicon Nitride Photonic Biosensor for Cancer Cell Detection. International Journal of Optics 2022;2022:1 View
  4. Liang Z, Zhang Z, Chen H, Zhang Z. Disease prediction based on multi-type data fusion from Chinese electronic health record. Mathematical Biosciences and Engineering 2022;19(12):13732 View
  5. Qi X, Guo J, Yao S, Liu T, Hou H, Ren H. Comprehensive Dynamic Influence of Multiple Meteorological Factors on the Detection Rate of Bacterial Foodborne Diseases under Spatio-Temporal Heterogeneity. International Journal of Environmental Research and Public Health 2023;20(5):4321 View
  6. Zhang L, Chen Q, Xiong S, Zhu S, Tian J, Li J, Guo H. Mushroom poisoning outbreaks in Guizhou Province, China: a prediction study using SARIMA and Prophet models. Scientific Reports 2023;13(1) View
  7. Li C, He Y, Zhang J, Mu J, Wang J, Cao M, Nawaz H, Chen S, Xu F. Cellulose-based colorimetric/ratiometric fluorescence sensor for visual detecting amines and anti-counterfeiting. Carbohydrate Polymers 2024;345:122548 View