Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission

BACKGROUND: An aging population with a burden of chronic diseases puts increasing pressure on health care systems. Early prediction of the hospital length of stay (LOS) can be useful in optimizing the allocation of medical resources, and improving healthcare quality. However, the data available at t...

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Detalles Bibliográficos
Autores principales: Hu, Zhixu, Qiu, Hang, Wang, Liya, Shen, Minghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915508/
https://www.ncbi.nlm.nih.gov/pubmed/35272654
http://dx.doi.org/10.1186/s12911-022-01802-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915508/
https://www.ncbi.nlm.nih.gov/pubmed/35272654
http://dx.doi.org/10.1186/s12911-022-01802-z

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