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Risk prediction models for falls in hospitalized older patients: a systematic review and meta-analysis
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创建时间：
2024-04-12
相关数据集
Final logistic regression models (n = 167).
Background This study aimed to identify the predictive effects of different aspects of diabetic peripheral neuropathy (DPN) and other already known risk factors for falls through a comprehensive logis
NIAID Data Ecosystem70
Results of the Poisson regression model predicting history of falls for subjects included in the study who underwent visual performance assessment with the Performance-Centered Portable Test processing speed parameter.
PERCEPT, PERformance CEntered Portable Test; STD, standard deviation of torque moments.Results of the Poisson regression model predicting history of falls for subjects included in the study who underw
Figshare2015-12-03 更新30
Paving The Way To Distinguish Fallers From Non-Fallers in Bilateral Vestibulopathy: A Wide Pilot Observation
Dataset accompanying the study title:Paving The Way To Distinguish Fallers From Non-Fallers in Bilateral Vestibulopathy: A Wide Pilot Observation
NIAID Data Ecosystem20
Best 50 fall risk classifier models based on ST gait data.
Best 50 fall risk classifier models based on ST gait data.
Figshare2016-04-08 更新30
Supplementary Material for: Beam Walking to Assess Dynamic Balance in Health and Disease: A Protocol for the “BEAM” Multicenter Observational Study
Background: Dynamic balance keeps the vertical projection of the center of mass within the base of support while walking. Dynamic balance tests are used to predict the risks of falls and eventual fall
Figshare2018-10-18 更新30
