Predicting length of stay ranges by using novel deep neural networks

BACKGROUND AND AIMS: Accurately predicting length of stay (LOS) is considered a challenging task for health care systems globally. In previous studies on LOS range prediction, researchers commonly pre-classified the LOS ranges, which were the same for all patients in the same classification, and the...

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Detalles Bibliográficos
Autores principales: Zou, Hong, Yang, Wei, Wang, Meng, Zhu, Qiao, Liang, Hongyin, Wu, Hong, Tang, Lijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958433/
https://www.ncbi.nlm.nih.gov/pubmed/36852025
http://dx.doi.org/10.1016/j.heliyon.2023.e13573

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958433/
https://www.ncbi.nlm.nih.gov/pubmed/36852025
http://dx.doi.org/10.1016/j.heliyon.2023.e13573

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