In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study

BACKGROUND: Falls are one of the most common accidents in medical institutions, which can threaten the safety of inpatients and negatively affect their prognosis. Herein, we developed a machine learning (ML) model for fall prediction in patients with acute stroke and compared its accuracy with that...

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Detalles Bibliográficos
Autores principales: Choi, Jun Hwa, Choi, Eun Suk, Park, Dougho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619231/
https://www.ncbi.nlm.nih.gov/pubmed/37915000
http://dx.doi.org/10.1186/s12911-023-02330-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619231/
https://www.ncbi.nlm.nih.gov/pubmed/37915000
http://dx.doi.org/10.1186/s12911-023-02330-0

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