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DEVELOPING A SIMPLE ALGORITHM TO PREDICT FALLS IN PRIMARY CARE OLDER PATIENTS

We aimed to establish an algorithm to identify older adults at risk of falling using Classification Regression Trees (with CHAID). We used longitudinal data (2012–2014) with 1662 participants completed the second assessment. The following risk factors for falls were entered in the CHAID: age, sex, B...

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Bibliographische Detailangaben
Veröffentlicht in:Innov Aging
Hauptverfasser: Gomez, F., Wu, Y., Auais, M., Vafaei, A., Alvarado, B.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2017
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6185490/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/geroni/igx004.3320
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