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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2012
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| Materias: | |
| 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 |