Multidimensional dynamic prediction model for hospitalized patients with the omicron variant in China

Multidimensional dynamic prediction model for hospitalized patients with the omicron variant in China

Purpose: To establish dynamic prediction models by machine learning using daily multidimensional data for coronavirus disease 2019 (COVID-19) patients. Methods: Hospitalized COVID-19 patients at Peking Union Medical College Hospital from Nov 2nd, 2022, to Jan 13th, 2023, were enrolled in this study....

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Bibliographic Details
Main Authors: Yujie Chen, Yao Wang, Jieqing Chen, Xudong Ma, Longxiang Su, Yuna Wei, Linfeng Li, Dandan Ma, Feng Zhang, Wen Zhu, Xiaoyang Meng, Guoqiang Sun, Lian Ma, Huizhen Jiang, Chang Yin, Taisheng Li, Xiang Zhou
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-12-01
Series:Infectious Disease Modelling
Subjects:
COVID-19
Omicron
Prediction model
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2468042723000854

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http://www.sciencedirect.com/science/article/pii/S2468042723000854

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