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

Machine Learning (2032) Artificial Intelligence (2059) Clinical Information and Decision Making (1870) Decision Support for Health Professionals (1509) Memory (47)

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 (11) Tweetations (2) Metrics

Yi Du   1, 2 , PhD ;   Hanxue Wang   1, 2 , MEng ;   Wenjuan Cui   1 , PhD ;   Hengshu Zhu   3 , PhD ;   Yunchang Guo   4 , PhD ;   Fayaz Ali Dharejo   1, 2 , PhD ;   Yuanchun Zhou   1, 2 , PhD

1 Computer Network Information Center, Chinese Academy of Sciences, Beijing, China

2 Chinese Academy of Sciences University, Beijing, China

3 Baidu Inc, Beijing, China

4 China National Center for Food Safety Risk Assessment, Beijing, China

Corresponding Author:

  • Yi Du, PhD
  • Computer Network Information Center
  • Chinese Academy of Sciences
  • Information Technology Building of Chinese Academy of Sciences
  • No. 2 Dongsheng South Road, Zhongguancun, Haidian District
  • Beijing 100089
  • China
  • Phone: 86 15810134970
  • Email: duyi@cnic.cn