Characterizing fall risk factors in Belgian older adults through machine learning: a data-driven app...
Characterizing fall risk factors in Belgian older adults through machine learning: a data-driven approach
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Publisher
London: BioMed Central Ltd
Journal title
Language
English
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Publisher
London: BioMed Central Ltd
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Scope and Contents
Contents
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 identifying risk factors associated with higher risk of fallin...
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Full title
Characterizing fall risk factors in Belgian older adults through machine learning: a data-driven approach
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TN_cdi_doaj_primary_oai_doaj_org_article_681b56f7d6d7487294b3c0d4b4fdb1aa
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_681b56f7d6d7487294b3c0d4b4fdb1aa
Other Identifiers
ISSN
1471-2458
E-ISSN
1471-2458
DOI
10.1186/s12889-022-14694-5
