Mining geriatric assessment data for in-patient fall prediction models and high-risk subgroups

BACKGROUND: Hospital in-patient falls constitute a prominent problem in terms of costs and consequences. Geriatric institutions are most often affected, and common screening tools cannot predict in-patient falls consistently. Our objectives are to derive comprehensible fall risk classification model...

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Detalles Bibliográficos
Autores principales: Marschollek, Michael, Gövercin, Mehmet, Rust, Stefan, Gietzelt, Matthias, Schulze, Mareike, Wolf, Klaus-Hendrik, Steinhagen-Thiessen, Elisabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3314576/
https://www.ncbi.nlm.nih.gov/pubmed/22417403
http://dx.doi.org/10.1186/1472-6947-12-19

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3314576/
https://www.ncbi.nlm.nih.gov/pubmed/22417403
http://dx.doi.org/10.1186/1472-6947-12-19

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