A hybrid machine learning framework to improve prediction of all-cause rehospitalization among elderly patients in Hong Kong

BACKGROUND: Accurately estimating elderly patients’ rehospitalisation risk benefits clinical decisions and service planning. However, research in rehospitalisation and repeated hospitalisation yielded only models with modest performance, and the model performance deteriorates rapidly as the predicti...

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Detalles Bibliográficos
Autores principales: Guan, Jingjing, Leung, Eman, Kwok, Kin-on, Chen, Frank Youhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837949/
https://www.ncbi.nlm.nih.gov/pubmed/36639745
http://dx.doi.org/10.1186/s12874-022-01824-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837949/
https://www.ncbi.nlm.nih.gov/pubmed/36639745
http://dx.doi.org/10.1186/s12874-022-01824-1

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