Predicting mortality in SARS-COV-2 (COVID-19) positive patients in the inpatient setting using a novel deep neural network

BACKGROUND: The nextwave of COVID-19 pandemic is anticipated to be worse than the initial one and will strain the healthcare systems even more during the winter months. Our aim was to develop a novel machine learning-based model to predict mortality using the deep learning Neo-V framework. We hypoth...

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Detalles Bibliográficos
Autores principales: Naseem, Maleeha, Arshad, Hajra, Hashmi, Syeda Amrah, Irfan, Furqan, Ahmed, Fahad Shabbir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378987/
https://www.ncbi.nlm.nih.gov/pubmed/34455118
http://dx.doi.org/10.1016/j.ijmedinf.2021.104556

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378987/
https://www.ncbi.nlm.nih.gov/pubmed/34455118
http://dx.doi.org/10.1016/j.ijmedinf.2021.104556

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