Application and comparison of ARIMA, LSTM, and ARIMA-LSTM models for predicting foodborne diseases in Liaoning Province

The ARIMA-LSTM model is considered the optimal model for predicting foodborne disease incidence in Liaoning Province in 2025.

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Publication Details

Journal
Frontiers in Big Data
Published
2025-11-12
DOI
https://doi.org/10.3389/fdata.2025.1666962
Primary Topic
Food Safety and Hygiene
Type
article
Field-Weighted Citation Impact
0.00

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article

Application and comparison of ARIMA, LSTM, and ARIMA-LSTM models for predicting foodborne diseases in Liaoning Province

Wenli Diao, Hao Zhang, Haomiao Yu, Xiangying Du et al.
Frontiers in Big Data
Food Safety and Hygiene
article

Application and comparison of ARIMA, LSTM, and ARIMA-LSTM models for predicting foodborne diseases in Liaoning Province

Wenli Diao, Hao Zhang, Haomiao Yu, Xiangying Du, Xinling Yu, Tao Xie, X. Liu
article en

Abstract

The ARIMA-LSTM model is considered the optimal model for predicting foodborne disease incidence in Liaoning Province in 2025.

Frontiers in Big DataVol. 8
Shenyang Center for Disease Control and Prevention (CN)
Department of Science and Technology of Liaoning Province, Key Research and Development Program of Liaoning Province
Openalex Percentile: Top 60%
Food Safety and Hygiene
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