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Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data

BACKGROUND: Predicting outcomes of patients with COVID-19 at an early stage is crucial for optimised clinical care and resource management, especially during a pandemic. Although multiple machine learning models have been proposed to address this issue, because of their requirements for extensive da...

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Detalles Bibliográficos
Autores principales: Rasmy, Laila, Nigo, Masayuki, Kannadath, Bijun Sai, Xie, Ziqian, Mao, Bingyu, Patel, Khush, Zhou, Yujia, Zhang, Wanheng, Ross, Angela, Xu, Hua, Zhi, Degui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023005/
https://www.ncbi.nlm.nih.gov/pubmed/35466079
http://dx.doi.org/10.1016/S2589-7500(22)00049-8