Machine learning applications for the prediction of extended length of stay in geriatric hip fracture patients

BACKGROUND: Geriatric hip fractures are one of the most common fractures in elderly individuals, and prolonged hospital stays increase the risk of death and complications. Machine learning (ML) has become prevalent in clinical data processing and predictive models. This study aims to develop ML mode...

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Detalles Bibliográficos
Autores principales: Tian, Chu-Wei, Chen, Xiang-Xu, Shi, Liu, Zhu, Huan-Yi, Dai, Guang-Chun, Chen, Hui, Rui, Yun-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2023
Materias:
Case Control Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642403/
https://www.ncbi.nlm.nih.gov/pubmed/37970626
http://dx.doi.org/10.5312/wjo.v14.i10.741

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642403/
https://www.ncbi.nlm.nih.gov/pubmed/37970626
http://dx.doi.org/10.5312/wjo.v14.i10.741

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