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The use of the World Guidelines for Falls Prevention and Management's risk stratification algorithm in predicting falls in The Irish Longitudinal Study on Ageing (TILDA).

Peter HartleyFaye ForsythScott RowbothamRobert BriggsRose Anne KennyRoman Romero-Ortuno
Published in: Age and ageing (2023)
the implementation of the WGFPM risk assessment algorithm was feasible in TILDA and successfully differentiated those at greater risk of falling. The high number of participants classified in the low-risk group and lack of differences between the intermediate and high-risk groups may be related to the non-clinical nature of the TILDA sample, and further study in other samples is warranted.
Keyphrases
  • risk assessment
  • machine learning
  • deep learning
  • community dwelling
  • healthcare
  • primary care
  • clinical practice
  • general practice
  • quality improvement
  • neural network
  • climate change
  • drug induced