The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set.

Journal: International journal of medical informatics
PMID: 32058264

Abstract

INTRODUCTION: Research has shown that frailty, a geriatric syndrome associated with an increased risk of negative outcomes for older people, is highly prevalent among residents of residential aged care facilities (also called long term care facilities or nursing homes). However, progress on effective identification of frailty within residential care remains at an early stage, necessitating the development of new methods for accurate and efficient screening.

Authors

  • R C Ambagtsheer
    Torrens University Australia, Adelaide, Australia; Fra. National Health and Medical Research Council of Australia Centre of Research Excellence Ilty Trans-Disciplinary Research to Achieve Healthy Ageing, Adelaide, Australia. Electronic address: rambagtsheer@laureate.net.au.
  • N Shafiabady
    Torrens University Australia, Adelaide, Australia.
  • E Dent
    Torrens University Australia, Adelaide, Australia; Baker Heart and Diabetes Institute, Melbourne, Australia; Lutheran Services, Milton, Brisbane, Australia.
  • C Seiboth
    Lutheran Services, Milton, Brisbane, Australia.
  • J Beilby
    Torrens University Australia, Adelaide, Australia; Fra. National Health and Medical Research Council of Australia Centre of Research Excellence Ilty Trans-Disciplinary Research to Achieve Healthy Ageing, Adelaide, Australia.

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