Comparison of Four Machine Learning Techniques for Prediction of Intensive Care Unit Length of Stay in Heart Transplantation Patients

BACKGROUND: Post-operative heart transplantation patients often require admission to an intensive care unit (ICU). Early prediction of the ICU length of stay (ICU-LOS) of these patients is of great significance and can guide treatment while reducing the mortality rate among patients. However, conven...

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Detalles Bibliográficos
Autores principales: Wang, Kan, Yan, Li Zhao, Li, Wang Zi, Jiang, Chen, Wang, Ni Ni, Zheng, Qiang, Dong, Nian Guo, Shi, Jia Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253610/
https://www.ncbi.nlm.nih.gov/pubmed/35800164
http://dx.doi.org/10.3389/fcvm.2022.863642

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253610/
https://www.ncbi.nlm.nih.gov/pubmed/35800164
http://dx.doi.org/10.3389/fcvm.2022.863642

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