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Deep-Learning Model for Influenza Prediction From Multisource Heterogeneous Data in a Megacity: Model Development and Evaluation

Deep-Learning Model for Influenza Prediction From Multisource Heterogeneous Data in a Megacity: Model Development and Evaluation

The aim was to establish a new and better-performing deep-learning model to predict influenza trends from multisource heterogeneous data in a megacity. In this study, we chose Beijing as the research object to represent a megacity, because Beijing is the capital of the People’s Republic of China, a central national city. By the end of 2021, Beijing had more than 20 million permanent residents. Furthermore, the center of Beijing is located at a longitude of 116°20 east and a latitude of 39°56 north.

Liuyang Yang, Gang Li, Jin Yang, Ting Zhang, Jing Du, Tian Liu, Xingxing Zhang, Xuan Han, Wei Li, Libing Ma, Luzhao Feng, Weizhong Yang

J Med Internet Res 2023;25:e44238