Prediction of outpatient visits for allergic rhinitis using an artificial intelligence LSTM model - a study in Eastern China

Prediction of outpatient visits for allergic rhinitis using an artificial intelligence LSTM model - a study in Eastern China

Abstract Background Allergic rhinitis is a common disease that can affect the health of patients and bring huge social and economic burdens. In this study, we developed a model to predict the incidence rate of allergic rhinitis so as to provide accurate information for the treatment, prevention, and...

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Bibliographic Details
Main Authors: Xiaofeng Fan, Liwei Chen, Wei Tang, Lixia Sun, Jie Wang, Shuhan Liu, Sirui Wang, Kaijie Li, Mingwei Wang, Yongran Cheng, Lili Dai
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Public Health
Subjects:
Allergic rhinitis
Long Short-Term Memory
Forecasting
Artificial Intelligence
Precision medicine
Personalized medicine
Online Access:https://doi.org/10.1186/s12889-025-22430-y
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https://doi.org/10.1186/s12889-025-22430-y

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