Explainable time-series deep learning models for the prediction of mortality, prolonged length of stay and 30-day readmission in intensive care patients

BACKGROUND: In-hospital mortality, prolonged length of stay (LOS), and 30-day readmission are common outcomes in the intensive care unit (ICU). Traditional scoring systems and machine learning models for predicting these outcomes usually ignore the characteristics of ICU data, which are time-series...

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Detalles Bibliográficos
Autores principales: Deng, Yuhan, Liu, Shuang, Wang, Ziyao, Wang, Yuxin, Jiang, Yong, Liu, Baohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554013/
https://www.ncbi.nlm.nih.gov/pubmed/36250092
http://dx.doi.org/10.3389/fmed.2022.933037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554013/
https://www.ncbi.nlm.nih.gov/pubmed/36250092
http://dx.doi.org/10.3389/fmed.2022.933037

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