Characterizing fall risk factors in Belgian older adults through machine learning: a data-driven approach
Abstract Background Falls are a major problem associated with ageing. Yet, fall-risk classification models identifying older adults at risk are lacking. Current screening tools show limited predictive validity to differentiate between a low- and high-risk of falling. Objective This study aims at ide...
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| Main Authors: | , , , , , , , |
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| Format: | Book |
| Published: |
BMC,
2022-11-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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