Interpretable prediction model for hand-foot-and-mouth disease incidence based on improved LSTM and XGBoost

Interpretable prediction model for hand-foot-and-mouth disease incidence based on improved LSTM and XGBoost

With the intensification of global warming, climate change has impacted every aspect of the occurrence, transmission, and variation of infectious diseases. The adverse effects of weather-related infectious diseases on human health have become a major public concern worldwide. Accurate and reliable f...

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Bibliographic Details
Main Authors: Xiao LI, Shuyu HE, Yan PENG, Rongxin YANG, Lu TAO, Tingqi LOU, Wenqi HE
Format: Article
Language:zho
Published: Science Press 2025-07-01
Series:工程科学学报
Subjects:
hand-foot-and-mouth disease incidence prediction
interpretability
long short-term memory
extreme gradient boosting
autoregressive integrated moving average model
Online Access:http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2024.09.12.004
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