Predicting trend of measles epidemic in Hebei province: an empirical study with long short-term memory neural network model

• Auteurs principaux: Xiaomeng XU (Auteur), Shiheng CUI (Auteur), Yafei WANG (Auteur), Li SUN (Auteur), Yanli CONG (Auteur), Jinghui WANG (Auteur), Jing LI (Auteur), Zhenguo ZHANG (Auteur)
• Format: Livre
• Publié: Editorial Office of Chinese Journal of Public Health, 2023-11-01T00:00:00Z.
• Sujets: article
• Accès en ligne: Connect to this object online.

ObjectiveTo explore the feasibility of predicting the trend of measles epidemic using long short-term memory (LSTM) neural network model for conducting prevention and control of measles. MethodsThe data on 51 012 measles cases reported in Hebei province form 2004 through 2020 were collected from Chi...