Deep Learning–Based Time-to-Death Prediction Model for COVID-19 Patients Using Clinical Data and Chest Radiographs

Accurate estimation of mortality and time to death at admission for COVID-19 patients is important and several deep learning models have been created for this task. However, there are currently no prognostic models which use end-to-end deep learning to predict time to event for admitted COVID-19 pat...

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Detalles Bibliográficos
Autores principales: Matsumoto, Toshimasa, Walston, Shannon Leigh, Walston, Michael, Kabata, Daijiro, Miki, Yukio, Shiba, Masatsugu, Ueda, Daiju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360661/
https://www.ncbi.nlm.nih.gov/pubmed/35941407
http://dx.doi.org/10.1007/s10278-022-00691-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360661/
https://www.ncbi.nlm.nih.gov/pubmed/35941407
http://dx.doi.org/10.1007/s10278-022-00691-y

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