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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...
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| Main Authors: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3314576/ https://ncbi.nlm.nih.gov/pubmed/22417403 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-12-19 |
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