Transformers for cardiac patient mortality risk prediction from heterogeneous electronic health records

With over 17 million annual deaths, cardiovascular diseases (CVDs) dominate the cause of death statistics. CVDs can deteriorate the quality of life drastically and even cause sudden death, all the while inducing massive healthcare costs. This work studied state-of-the-art deep learning techniques to...

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Detalles Bibliográficos
Autores principales: Antikainen, Emmi, Linnosmaa, Joonas, Umer, Adil, Oksala, Niku, Eskola, Markku, van Gils, Mark, Hernesniemi, Jussi, Gabbouj, Moncef
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978282/
https://www.ncbi.nlm.nih.gov/pubmed/36864069
http://dx.doi.org/10.1038/s41598-023-30657-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978282/
https://www.ncbi.nlm.nih.gov/pubmed/36864069
http://dx.doi.org/10.1038/s41598-023-30657-1

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