Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data

Prediction of survival for patients in intensive care units (ICUs) has been subject to intense research. However, no models exist that embrace the multiverse of data in ICUs. It is an open question whether deep learning methods using automated data integration with minimal pre-processing of mixed da...

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Detalles Bibliográficos
Autores principales: Thorsen-Meyer, Hans-Christian, Placido, Davide, Kaas-Hansen, Benjamin Skov, Nielsen, Anna P., Lange, Theis, Nielsen, Annelaura B., Toft, Palle, Schierbeck, Jens, Strøm, Thomas, Chmura, Piotr J., Heimann, Marc, Belling, Kirstine, Perner, Anders, Brunak, Søren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474816/
https://www.ncbi.nlm.nih.gov/pubmed/36104486
http://dx.doi.org/10.1038/s41746-022-00679-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474816/
https://www.ncbi.nlm.nih.gov/pubmed/36104486
http://dx.doi.org/10.1038/s41746-022-00679-6

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